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  • 1.
    Abbasi, Bushra Qazi
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Awais, Samrah
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Playing mind gamification: Theoretical evidence of addictive nature of gamification and identification of addictive game elements used in mobile application design2022Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Gamification is a modern concept that makes physical and digital activities engaging and enjoyable just like games. Game elements are added to mobile applications for user retention and engagement. One of the dark sides of gamification i.e., addiction is explored in this novel study in the context of mobile application design. It uses a mixed-method approach to lay the foundation of the relation between gamification and Smartphone Addiction, which is critically explained in a limited literature review using existing theories and studies on gamification. Interviews with behavioral experts confirm the psychological aspects of the research. The study also identifies game elements that contribute to smartphone addiction by a survey analysis of 269 participants. Results reveal Scrolling and Tapping as most addictive game elements. Some elements also show a statistically significant relationship with daily smartphone usage in hours. There are many effective applications of gamification, and in the context of mobile application design, it indeed helps to increase user engagement, however, there is an ethical need to reflect on what the exaggerated form of this engagement can lead to. As future research, a longitudinal study and experiments are suggested to find out this relationship with the use of empirical data.

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  • 2.
    Abghari, Shahrooz
    et al.
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Boeva, Veselka
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Lavesson, Niklas
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Grahn, Håkan
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Gustafsson, Jörgen
    Ericsson AB.
    Shaikh, Junaid
    Ericsson AB.
    Outlier Detection for Video Session Data Using Sequential Pattern Mining2018In: ACM SIGKDD Workshop On Outlier Detection De-constructed, 2018Conference paper (Refereed)
    Abstract [en]

    The growth of Internet video and over-the-top transmission techniqueshas enabled online video service providers to deliver highquality video content to viewers. To maintain and improve thequality of experience, video providers need to detect unexpectedissues that can highly affect the viewers’ experience. This requiresanalyzing massive amounts of video session data in order to findunexpected sequences of events. In this paper we combine sequentialpattern mining and clustering to discover such event sequences.The proposed approach applies sequential pattern mining to findfrequent patterns by considering contextual and collective outliers.In order to distinguish between the normal and abnormal behaviorof the system, we initially identify the most frequent patterns. Thena clustering algorithm is applied on the most frequent patterns.The generated clustering model together with Silhouette Index areused for further analysis of less frequent patterns and detectionof potential outliers. Our results show that the proposed approachcan detect outliers at the system level.

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  • 3.
    Abghari, Shahrooz
    et al.
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Boeva, Veselka
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Lavesson, Niklas
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Grahn, Håkan
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Ickin, Selim
    Ericsson, SWE.
    Gustafsson, Jörgen
    Ericsson, SWE.
    A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences2018In: The 17th IEEE International Conference on Machine Learning and Applications Special Session on Machine Learning Algorithms, Systems and Applications, IEEE, 2018Conference paper (Refereed)
    Abstract [en]

    Outlier detection has been studied in many domains. Outliers arise due to different reasons such as mechanical issues, fraudulent behavior, and human error. In this paper, we propose an unsupervised approach for outlier detection in a sequence dataset. The proposed approach combines sequential pattern mining, cluster analysis, and a minimum spanning tree algorithm in order to identify clusters of outliers. Initially, the sequential pattern mining is used to extract frequent sequential patterns. Next, the extracted patterns are clustered into groups of similar patterns. Finally, the minimum spanning tree algorithm is used to find groups of outliers. The proposed approach has been evaluated on two different real datasets, i.e., smart meter data and video session data. The obtained results have shown that our approach can be applied to narrow down the space of events to a set of potential outliers and facilitate domain experts in further analysis and identification of system level issues.

  • 4.
    Agostini, Patrick
    et al.
    Wireless Communications and Networks Department, Fraunhofer Heinrich Hertz Institute, Berlin, Germany; Technische Universitat Berlin, Germany.
    Utkovski, Zoran
    Wireless Communications and Networks Department, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
    Stańczak, Sławomir
    Wireless Communications and Networks Department, Fraunhofer Heinrich Hertz Institute, Berlin, Germany; Technische Universitat Berlin, Germany.
    Memon, Aman A.
    Communications Research Laboratory Technische Universitat Ilmenau, Germany.
    Zafar, Bilal
    Communications Research Laboratory Technische Universitat Ilmenau, Germany.
    Haardt, Martin
    Communications Research Laboratory Technische Universitat Ilmenau, Germany.
    Not-Too-Deep Channel Charting (N2D-CC)2022In: 2022 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2022, p. 2160-2165Conference paper (Refereed)
    Abstract [en]

    Channel charting (CC) is an emerging machine learning method for learning a lower-dimensional representation of channel state information (CSI) in multi-antenna systems while simultaneously preserving spatial relations between CSI samples. The driving objective of CC is to learn these representations or channel charts in a fully unsupervised manner, i.e., without the need for having access to explicit geographical information. Based on recent findings in deep manifold learning, this paper addresses the problem of CC via the "not-too-deep" (N2D) approach for deep manifold learning. According to the proposed approach, an embedding of the global channel chart is first learned using a deep neural network (DNN)-based autoencoder (AE), and this embedding is subsequently searched for the underlying manifold using shallow clustering methods. In this way we are able to counter the problem of collapsing extremities - a well known deficiency of channel charting methods, which in previous research efforts could only be mitigated by introducing side-information in form of distance constraints. To further exploit the ever-increasing spatio-temporal CSI resolution in modern multi-antenna systems, we propose to augment the employed AE with convolutional neural network (CNN) input layers. The resulting convolutional autoencoder (CAE) architecture is able to automatically extract sparsely distributed spatio-temporal features from beamspace domain CSI, yielding a reduced computational complexity of the resulting model.

  • 5.
    Ahlberg, Ernst
    et al.
    Universal Prediction AB, Gothenburg, Sweden; Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
    Mirkina, Irina
    Stena Line, Gothenburg, Sweden.
    Olsson, Alfred
    Stena Line, Gothenburg, Sweden.
    Söyland, Christian
    Stena Line, Gothenburg, Sweden.
    Carlsson, Lars
    Universal Prediction AB, Gothenburg, Sweden; Centre for Reliable Machine Learning, University of London, London, UK.
    On the selection of relevant historical demand data for revenue management applied to transportation2023In: Journal of Revenue and Pricing Management, ISSN 1476-6930, E-ISSN 1477-657X, Vol. 22, no 4, p. 266-275Article in journal (Refereed)
    Abstract [en]

    The success of revenue management models depends to a large extent on the quality of historical data used to forecast future bookings. Several theoretical models and best practices of handing historical data have been developed over the years, that all rely on assumptions about underlying distribution and seasonality in the historical data. In this paper, we describe a novel method that compares the fingerprints of the departure to optimise and selects historical departures without making assumptions on data distribution or seasonality. By evaluating the method at the departure level and using the Nemenyi rank test, we show the method’s application in the ferry transportation business and discuss its advantages.

  • 6.
    Ahlberg, Ernst
    et al.
    Predictive Compound ADME & Safety, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Winiwarter, Susanne
    Predictive Compound ADME & Safety, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Boström, Henrik
    Department of Computer and Systems Sciences, Stockholm University, Sweden.
    Linusson, Henrik
    Department of Information Technology, University of Borås, Sweden.
    Löfström, Tuve
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Department of Information Technology, University of Borås, Sweden.
    Norinder, Ulf
    Swetox, Karolinska Institutet, Unit of Toxicology Sciences, Sweden.
    Johansson, Ulf
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Department of Information Technology, University of Borås, Sweden.
    Engkvist, Ola
    External Sciences, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Hammar, Oscar
    Quantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Bendtsen, Claus
    Quantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Cambridge, UK.
    Carlsson, Lars
    Quantitative Biology, Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Using conformal prediction to prioritize compound synthesis in drug discovery2017In: Proceedings of Machine Learning Research: Volume 60: Conformal and Probabilistic Prediction and Applications, 13-16 June 2017, Stockholm, Sweden / [ed] Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, and Harris Papadopoulos, Machine Learning Research , 2017, p. 174-184Conference paper (Refereed)
    Abstract [en]

    The choice of how much money and resources to spend to understand certain problems is of high interest in many areas. This work illustrates how computational models can be more tightly coupled with experiments to generate decision data at lower cost without reducing the quality of the decision. Several different strategies are explored to illustrate the trade off between lowering costs and quality in decisions.

    AUC is used as a performance metric and the number of objects that can be learnt from is constrained. Some of the strategies described reach AUC values over 0.9 and outperforms strategies that are more random. The strategies that use conformal predictor p-values show varying results, although some are top performing.

    The application studied is taken from the drug discovery process. In the early stages of this process compounds, that potentially could become marketed drugs, are being routinely tested in experimental assays to understand the distribution and interactions in humans.

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  • 7. Ahmad, Bilal
    et al.
    Weinberger, Kevin
    Sezgin, Aydin
    Zafar, Bilal
    Communications Research Laboratory, Technische Universität, Ilmenau, Germany.
    Haardt, Martin
    The Perfect Match: RIS-enabled MIMO Channel Estimation Using Tensor Decomposition2023Manuscript (preprint) (Other academic)
    Abstract [en]

    The deployment of reconfigurable intelligent surfaces (RISs) in a communication system provides control over the propagation environment, which facilitates the augmentation of a multitude of communication objectives. As these performance gains are highly dependent on the applied phase shifts at the RIS, accurate channel state information at the transceivers is imperative. However, not only do RISs traditionally lack signal processing capabilities, but their end-to-end channels also consist of multiple components. Hence, conventional channel estimation (CE) algorithms become incompatible with RIS-aided communication systems as they fail to provide the necessary information about the channel components, which are essential for a beneficial RIS configuration. To enable the full potential of RISs, we propose to use tensor-decomposition-based CE, which facilitates smart configuration of the RIS by providing the required channel components. We use canonical polyadic (CP) decomposition, that exploits a structured time domain pilot sequence. Compared to other state-of-the-art decomposition methods, the proposed Semi-Algebraic CP decomposition via Simultaneous Matrix Diagonalization (SECSI) algorithm is more time efficient as it does not require an iterative process. The benefits of SECSI for RIS-aided networks are validated with numerical results, which show the improved individual and end-to-end CE accuracy of SECSI.

  • 8.
    Aidemark, Jan
    et al.
    Linnaeus University.
    Askenäs, Linda
    Linnaeus University.
    Nygårdh, Annette
    Jönköping University, School of Health and Welfare, HHJ, Dep. of Nursing Science. Jönköping University, School of Health and Welfare, The Jönköping Academy for Improvement of Health and Welfare.
    Strömberg, Anna
    Linköping University.
    User involvement in the co-design of self-care support systems for heart failure patients2015In: Procedia Computer Science, E-ISSN 1877-0509, Vol. 64, p. 118-124Article in journal (Refereed)
    Abstract [en]

    In this paper the nature of user involvement in a co-design process will be explored. The outlines of a research project aiming at developing support systems for self-care inpatients suffering from chronic heart failure will be presented. The project is planned to perform a co-design effort where users (patients and healthcare professionals) will be given the opportunity to influence the development of support systems. We will discuss a number of possibilities and challenges that lie in the design of this kind of project and also some findings from its early stages. This report presents the experiences of users’ input, which are discussed in the context of previous research on benefits of user contributions in systems development.

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  • 9.
    Ajegunma, Solomon
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Onoberhie, Kennedy
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Pasupathy, Ramadevi
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Exploring the Integration of Enterprise Systems Solutions Within A Supply Chian2011Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Over the decades, as organizations begin to move globally there has been a sporadic flow of information in their supply chain. Competition today is forcing companies to integrate tightly with their suppliers and customers, in order to reduce the time available to flex the supply chain (SC) (Koh S.C, Saad S, Arunachalam S, 2006). The integration of firms and departments and information is getting more and more complicated. Regardless of enterprise system solutions being introduced as “integrated suites” they have failed to accomplish application and supply chain integration (Themistocleous, M. Irani, Z. O‟Keefe, and R. 2001). Therefore, this thesis aims to explore, gain better understanding and to explain the balance that may occur between the challenges and benefits gained from integrating enterprise resource planning and supply chain management.Our topic of interest could be view from both developers and user perspective. Developer/consultant‟s perspective is based on the viewpoint of those involved in and responsible for developing enterprise solutions. User‟s perspective, this perspective gives insight to how the integration process is perceived by organisations actually using the solutions. We chose the User perspective because we consider the user to be the direct beneficiary of whatever outcome is gotten from both the business solutions and its integration.In order to achieve a purposeful thesis. We decided to use an interpretive perspective which focus on exploring and gaining insight into issues of integrating enterprise system solution. We used both the inductive and the deductive approaches in our research. This would be advantageous due to the nature of our research topic, as there is little existing knowledge about the integration of enterprise systems solution within supply chain and there are lots of literatures related to the enterprise system solutions (ERP and SCM) been observed. The inductive approach would guide us to choose one or a few specific interactions to explore in-depth, while the deductive approach would aid us when making an hypothesis, since we would be collecting ideas about previous research and theories in order to guide us and make comparison.Conclusively, we found that the balance between challenges and benefits of ERP and SCM are unequivocal, as the benefits surpass the challenges and the effect of challenges on organisation‟s benefit is that it prolongs the short term benefit.

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  • 10.
    Albertsen, Thomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Towards Competence Modeling and Competence Matching for Network-Based Defense2008In: Stockholm contributions in Military-Technology 2007 / [ed] M. Norsell, Stockholm: Swedish National Defence College , 2008, p. 9-22Chapter in book (Other academic)
  • 11.
    Al-Ghareeb, Meelad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Vibration exposure model for human operators working with chainsaw equipment.2018Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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  • 12.
    Alirezaie, Marjan
    et al.
    Örebro University.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Blomqvist, Eva
    SICS - East Swedish ICT.
    SmartEnv as a Network of Ontology Patterns2018In: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 9, no 6, p. 903-918Article in journal (Refereed)
    Abstract [en]

    In this article we outline the details of an ontology, called SmartEnv, proposed as a representational model to assist the development process of smart (i.e., sensorized) environments. The SmartEnv ontology is described in terms of its modules representing different aspects including physical and conceptual aspects of a smart environment. We propose the use of the Ontology Design Pattern (ODP) paradigm in order to modularize our proposed solution, while at the same time avoiding strong dependencies between the modules in order to manage the representational complexity of the ontology. The ODP paradigm and related methodologies enable incremental construction of ontologies by first creating and then linking small modules. Most modules (patterns) of the SmartEnv ontology are inspired by, and aligned with, the Semantic Sensor Network (SSN) ontology, however with extra interlinks to provide further precision and cover more representational aspects. The result is a network of 8 ontology patterns together forming a generic representation for a smart environment. The patterns have been submitted to the ODP portal and are available on-line at stable URIs.

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  • 13.
    Alirezaie, Marjan
    et al.
    Örebro Universitet.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). RISE SICS East AB, Linköping, Sweden.
    Blomqvist, Eva
    Linköpings Universitet.
    Nyström, Mikael
    Linköpings Universitet.
    Ivanova, Valentina
    Linköpings Universitet.
    SmartEnv Ontology in E-care@home2018In: SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018) / [ed] Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor, CEUR-WS , 2018, Vol. 2213, p. 72-79Conference paper (Refereed)
    Abstract [en]

    In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. We will also talk about E-carehome project aiming at providing an IoT-based health-care system for elderly people at their homes. Furthermore, we refer to the role of SmartEnv in Ecarehome and how it needs to be further extended to achieve semantic interoperability as one of the challenges in development of autonomous health care systems at home.

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  • 14. Alkhatib, Amr
    et al.
    Boström, Henrik
    School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden.
    Johansson, Ulf
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Assessing Explanation Quality by Venn Prediction2022In: Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications: Volume 179: Conformal and Probabilistic Prediction with Applications, 24-26 August 2022, Brighton, UK / [ed] U. Johansson, H. Boström, K. A. Nguyen, Z. Luo & L. Carlsson, ML Research Press , 2022, Vol. 179, p. 42-54Conference paper (Refereed)
    Abstract [en]

    Rules output by explainable machine learning techniques naturally come with a degree of uncertainty, as the complex functionality of the underlying black-box model often can be difficult to approximate by a single, interpretable rule. However, the uncertainty of these approximations is not properly quantified by current explanatory techniques. The use of Venn prediction is here proposed and investigated as a means to quantify the uncertainty of the explanations and thereby also allow for competing explanation techniques to be evaluated with respect to their relative uncertainty. A number of metrics of rule explanation quality based on uncertainty are proposed and discussed, including metrics that capture the tendency of the explanations to predict the correct outcome of a black-box model on new instances, how informative (tight) the produced intervals are, and how certain a rule is when predicting one class. An empirical investigation is presented, in which explanations produced by the state-of-the-art technique Anchors are compared to explanatory rules obtained from association rule mining. The results suggest that the association rule mining approach may provide explanations with less uncertainty towards the correct label, as predicted by the black-box model, compared to Anchors. The results also show that the explanatory rules obtained through association rule mining result in tighter intervals and are closer to either one or zero compared to Anchors, i.e., they are more certain towards a specific class label.

  • 15.
    Allahyari, Hiva
    et al.
    Blekinge Institute of Technology, Karlskrona, Sweden.
    Lavesson, Niklas
    Blekinge Institute of Technology, Karlskrona, Sweden.
    User-oriented Assessment of Classification Model Understandability2011Conference paper (Refereed)
    Abstract [en]

    This paper reviews methods for evaluating and analyzing the understandability of classification models in the context of data mining. The motivation for this study is the fact that the majority of previous work has focused on increasing the accuracy of models, ignoring user-oriented properties such as comprehensibility and understandability. Approaches for analyzing the understandability of data mining models have been discussed on two different levels: one is regarding the type of the models’ presentation and the other is considering the structure of the models. In this study, we present a summary of existing assumptions regarding both approaches followed by an empirical work to examine the understandability from the user’s point of view through a survey. The results indicate that decision tree models are more understandable than rule-based models. Using the survey results regarding understandability of a number of models in conjunction with quantitative measurements of the complexity of the models, we are able to establish correlation between complexity and understandability of the models.

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  • 16.
    Almusaed, Amjad
    et al.
    Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
    Yitmen, Ibrahim
    Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
    Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins2023In: Sustainability, E-ISSN 2071-1050, Vol. 15, no 6, article id 4955Article in journal (Refereed)
    Abstract [en]

    Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designingand treating the activities, layout, and functions for the new generation of buildings to enhanceuser experience and optimize building performance. These models use data about a building’s use,configuration, functions, and environment to simulate different design options and predict theireffects on house function efficiency, comfort, and safety. On the one hand, AI algorithms are usedto analyze this data and find patterns and trends that can guide the design process. On the otherhand, DTs are digital recreations of actual structures that can replicate building performance in realtime. These models would evaluate alternative design options, the performance of the building, andways to improve user comfort and building efficiency. This study examined the important role ofintelligent building design aspects, such as activities using multi-layout and the creation of particularfunctions based on AI simulation models, in developing DT-based smart building systems. Theempirical data came from a study of architecture and engineering firms throughout the globe usinga CSAQ (computer-administered, self-completed survey). For this purpose, the study employedstructural equation modeling (SEM) to examine the hypotheses and build the relationship model. Theresearch verifies the relevance of AI-based simulation models supporting the creation of intelligentbuilding design features (activities, layout, functionalities), enabling the construction of DT-basedsmart building systems. Furthermore, this study highlights the need for further exploration ofAI-based simulation models’ role and integration with DT in smart building design.

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  • 17.
    Almusaed, Amjad
    et al.
    Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
    Yitmen, Ibrahim
    Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
    Almssad, Asaad
    Department of Building Technology, Karlstad University, Karlstad, Sweden.
    Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review2023In: Energies, E-ISSN 1996-1073, Vol. 16, no 6, article id 2636Article in journal (Refereed)
    Abstract [en]

    The normal development of “smart buildings,” which calls for integrating sensors, rich data, and artificial intelligence (AI) simulation models, promises to usher in a new era of architectural concepts. AI simulation models can improve home functions and users’ comfort and significantly cut energy consumption through better control, increased reliability, and automation. This article highlights the potential of using artificial intelligence (AI) models to improve the design and functionality of smart houses, especially in implementing living spaces. This case study provides examples of how artificial intelligence can be embedded in smart homes to improve user experience and optimize energy efficiency. Next, the article will explore and thoroughly analyze the thorough analysis of current research on the use of artificial intelligence (AI) technology in smart homes using a variety of innovative ideas, including smart interior design and a Smart Building System Framework based on digital twins (DT). Finally, the article explores the advantages of using AI models in smart homes, emphasizing living spaces. Through the case study, the theme seeks to provide ideas on how AI can be effectively embedded in smart homes to improve functionality, convenience, and energy efficiency. The overarching goal is to harness the potential of artificial intelligence by transforming how we live in our homes and improving our quality of life. The article concludes by discussing the unresolved issues and potential future research areas on the usage of AI in smart houses. Incorporating AI technology into smart homes benefits homeowners, providing excellent safety and convenience and increased energy efficiency.

  • 18.
    Al-Nuaimi, Ibraheem
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Andersson, Emil
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Vehicle Classification Using Point Cloud & Deep Learning2020Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    AI and machine learning have grown exponentially over the last couple of years. Today, many problems can be solved or improved using this technology. For instance, neural networks have proven to be highly efficient in regard to classifying objects in video sequences or images. Most often, 2D data is used in these applications. In recent years, major advancements have been made in equipment that can generate 3D data. Thus, adding an additional dimension which could potentially help improve tasks like object classification. This thesis evaluates 3D data in the form of point clouds generated by stereo cameras, we present two vehicle classification neural networks, both based on point clouds. Our first network is referred to as the 3D model. This model uses raw point cloud data as input, thus fully utilizing the information point clouds provides. The second network is referred to as the 2D model and bases its input on projections from point clouds. The 3D model is based on the architecture of PointNet: a network developed by the pioneers of deep neural networks on raw point cloud data. We utilize their approach on applying deep learning directly over irregular point clouds without any conversion. In particular, applying a Multi-Layer-Perceptron network and a symmetric function on each point. The 2D model is based on the architecture of another well-known network called VGG16. This model uses 2D images as input. The images are generated by converting point clouds into voxels and calculating a density value in each voxel. We evaluate the performance of each created model separately to identify strength and weaknesses. Moreover, we assess whether raw point clouds can achieve on par or better performance than projected point clouds. Empirically, both proposed models show strong performance in the task of classifying vehicles, exceeding an accuracy of 98%. Furthermore, both models are lightweight in terms of network parameters and fast in regard to inference time. In this thesis, we show that raw 3D point cloud data is as effective as 2D image data when used as input and requires less pre-processing. Furthermore, we show that relatively few points are required as input to ensure reliable classifications. We conclude that no model is superior to the other as evaluation shows that both models are relatively equal in performance.

  • 19.
    Alviano, Mario
    et al.
    Dipartimento di Matematica e Informatica, Università Della Calabria, Italy.
    Calimeri, Francesco
    Dipartimento di Matematica e Informatica, Università Della Calabria, Italy.
    Charwat, Günther
    Institute of Information Systems, Vienna University of Technology, Austria.
    Dao-Tran, Minh
    Institute of Information Systems, Vienna University of Technology, Austria.
    Dodaro, Carmine
    Dipartimento di Matematica e Informatica, Università Della Calabria, Italy.
    Ianni, Giovambattista
    Dipartimento di Matematica e Informatica, Università Della Calabria, Italy.
    Krennwallner, Thomas
    Institute of Information Systems, Vienna University of Technology, Austria.
    Kronegger, Martin
    Institute of Information Systems, Vienna University of Technology, Austria.
    Oetsch, Johannes
    Institute of Information Systems, Vienna University of Technology, Austria.
    Pfandler, Andreas
    Institute of Information Systems, Vienna University of Technology, Austria.
    Pührer, Jörg
    Institute of Information Systems, Vienna University of Technology, Austria.
    Redl, Christoph
    Institute of Information Systems, Vienna University of Technology, Austria.
    Ricca, Francesco
    Dipartimento di Matematica e Informatica, Università Della Calabria, Italy.
    Schneider, Patrik
    Institute of Information Systems, Vienna University of Technology, Austria.
    Schwengerer, Martin
    Institute of Information Systems, Vienna University of Technology, Austria.
    Spendier, Lara Katharina
    Institute of Computer Languages, Vienna University of Technology, Austria.
    Wallner, Johannes Peter
    Institute of Information Systems, Vienna University of Technology, Austria.
    Xiao, Guohui
    Institute of Information Systems, Vienna University of Technology, Austria.
    The fourth answer set programming competition: Preliminary report2013In: Logic Programming and Nonmonotonic Reasoning: 12th International Conference, LPNMR 2013, Corunna, Spain, September 15-19, 2013, Proceedings, Springer, 2013, p. 42-53Conference paper (Refereed)
    Abstract [en]

    Answer Set Programming is a well-established paradigm of declarative programming in close relationship with other declarative formalisms such as SAT Modulo Theories, Constraint Handling Rules, PDDL and many others. Since its first informal editions, ASP systems are compared in the nowadays customary ASP Competition. The fourth ASP Competition, held in 2012/2013, is the sequel to previous editions and it was jointly organized by University of Calabria (Italy) and the Vienna University of Technology (Austria). Participants competed on a selected collection of benchmark problems, taken from a variety of research areas and real world applications. The Competition featured two tracks: the Model& Solve Track, held on an open problem encoding, on an open language basis, and open to any kind of system based on a declarative specification paradigm; and the System Track, held on the basis of fixed, public problem encodings, written in a standard ASP language.

  • 20.
    Ambrose, William
    et al.
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Athley, Samuel
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Dagland, Niclas
    Jönköping University, Jönköping International Business School, JIBS, Business Informatics.
    Cloud Computing: Security Risks, SLA, and Trust2010Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    With Cloud Computing becoming a popular term on the Information Technology (IT) market, security and accountability has become important issues to highlight. In our research we review these concepts by focusing on security risks with Cloud Computing and the associated services; Software, Platform and Infrastructure (SPI) and connecting them with a social study of trust.

    The method that was conducted during our research was reviewing secondary literature, interviewing different experts regarding Cloud Computing and relating standards already established by ENISA, NIST, and CSA to the interviews.

    The result of this study shows connections between the specific SPIs, both how they compare, but also how they differ. In the end we were also able to rank the top security risks from interviews with experts and see which SPI could be the most insecure one and  what countermeasures could be applied.

    This was further related to trust and Service Level Agreement (SLA) in Cloud Computing to show how the security risks we discuss are related to these two specific areas. By highlighting this we wanted to present useable information for both clients and providers in how to create a better Cloud Computing environment.

    Download full text (pdf)
    FULLTEXT02
  • 21.
    Andersson, Dennis
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Axelsson, Axel
    Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics.
    Evaluation of The Software Development Process for A Multi-Platform Solution in Flutter2021Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesis
    Abstract [en]

    Throughout the years of software development, the number of frameworks and software technologies have rapidly increased. This not only increases the difficulties of choosing the right software, but also makes it harder to find developers in a specific area. To create a multi-platform solution, a company would usually need competence in different areas such as frontend, backend, and mobile development. Such a solution requires an investment of a lot of time and resources. An alternative to developing a multi-platform solution opposed to the conventional way is with the software development kit created by Google called Flutter.

    The purpose of this bachelor thesis is to investigate the software development process when creating multi-platform solutions in Flutter. The study will point out eventual differences with the software development process between Flutter and conventional development.

    To achieve this, the study collected secondary research and conducted interviews with two developers who both worked with Flutter. In addition to this a Portfolio application was built during an experiment phase with a daily diary as the data collection process to validate the experiences given from the interview and secondary research. The results point towards some general benefits of using Flutter when creating multi-platform solutions. These benefits are only applicable when creating a product that shares the same user interface and have no OS specific features that requires need for deep integration into the targets device system.  

    Download full text (pdf)
    fulltext
  • 22.
    Andersson Lundberg, Fredric
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Brandt, Joakim
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Evaluering av prestanda mellan RestSharp och Flurl2020Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Download full text (pdf)
    Evaluera_RestSharp_Flurl
  • 23.
    Andersson, Martin
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Strand, Niklas
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Virtualisering för en effektivare laborationsmiljö2012Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    IT-companies today need to experiment with the technology they deliver to their customers. A laboratory environment with little or no planning behind it can have a quite low efficiency. The term “efficiency” is used, in this work, as a measure-ment of how much time it takes to complete a certain work-task. However, effi-ciency also means reducing the useage of resources. Increased efficiency means that less time is used to complete one or more tasks. Today, IT-companies nor-mally utilize a fraction of their total server capacity. To utilize the servers more efficiently, and be more economic, virtualization is a good solution. TDC, who delivers communication solutions, has a laboratory environment at their office in Växjö. The work includes, among other things, time-consuming reinstallation of servers. Another problem is that people currently often need to be in the envi-ronment, physically. This limits the use of the environment because people in oth-er offices have no chance of using it. The purpose of this work is to develop guidelines as to build efficient laboratory environments for servers and network-units, and to reduce the need of physical access to the laboratory equipment.

    During the work a workshop was conducted, regular telephone reconciliations were held, experiments were done and a literature research was made. The exper-iments dealt with virtualization and external storage. The goal has been to develop guidelines on how to build efficient laboratory environments. Through the litera-ture research, in multiple databases, sources were found that support the theory and the results.

    The guidelines developed show how to reduce the need of physical presence by allowing remote access and having a well-planned network structure. By configur-ing the remote access properly the equipment can be accessed even if some parts of the network structure are not fully functional. Servers can be accessed via a special expansion card as long as they have power and network access. This way, you can start and stop the server and even reinstall its operatingsystem, all of it remotely. It is essential in a laboratory environment to be able to restore the con-figuration of a device to a initial state, or known working state. For networking units this is accomplished by storing (and getting) configurations from a central server. Virtualization is a good option when it comes to restoring servers, because it is easy to save snapshots of virtual machines. The whole environment and its routines should be well documented.

    Download full text (pdf)
    virtualisering_for_effektivare_labbmiljo
  • 24. Annavarjula, Vaishnavi
    et al.
    Mbiydzenyu, Gideon
    Riveiro, Maria
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Lavesson, Niklas
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Implicit user data in fashion recommendation systems2020In: Developments of artificial intelligence technologies in computation and robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020) / [ed] Zhong Li, Chunrong Yuan, Jie Lu & Etienne E. Kerre, World Scientific, 2020, p. 614-621Conference paper (Refereed)
    Abstract [en]

    Recommendation systems in fashion are used to provide recommendations to users on clothing items, matching styles, and size or fit. These recommendations are generated based on user actions such as ratings, reviews or general interaction with a seller. There is an increased adoption of implicit feedback in models aimed at providing recommendations in fashion. This paper aims to understand the nature of implicit user feedback in fashion recommendation systems by following guidelines to group user actions. Categories of user actions that characterize implicit feedback are examination, retention, reference, and annotation. Each category describes a specific set of actions a user takes. It is observed that fashion recommendations using implicit user feedback mostly rely on retention as a user action to provide recommendations.

  • 25.
    Argyrou, Argyris
    Hanken School of Economics, Helsinki, Finland.
    Auditing journal entries using extreme value theory2013In: ECIS 2013 - Proceedings of the 21st European Conference on Information Systems, Association for Information Systems, 2013Conference paper (Refereed)
    Abstract [en]

    While a wealth of statutory and auditing pronouncements attest to the importance of the auditing of journal entries for preventing and detecting material misstatements to financial statements, existing literature has so far paid inadequate attention to this line of research. To explore this line of research further, this paper proposes a bipartite model that is based on extreme value theory and Bayesian analysis of Poisson distributions. The paper assesses the veracity of the model via a series of experiments on a dataset that contains the journal entries of an international shipping company for fiscal years 2006 and 2007. Empirical results suggest the model can detect journal entries that have a low probability of occurring and a monetary amount large enough to cause financial statements to be materially misstated. Further investigations reveal that the model can assist auditors to form expectations about the journal entries thus detected as well as update their expectations based on new data. The findings indicate that the model can be applied for the auditing of journal entries, and thus supplement existing procedures.

  • 26.
    Arjomandi Rad, Mohammad
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD). Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Produktionsutveckling.
    Data-driven and real-time prediction models for iterative and simulation-driven design processes2022Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The development of more complex products has increased dependency on virtual/digital models and emphasized the role of simulations as a means of validation before production. This level of dependency on digital models and simulation togetherwith the customization level and continuous requirement change leads to a large number of iterations in each stage of the product development process. This research, studies such group of products that have multidisciplinary, highly iterative, and simulation-driven design processes. It is shown that these high-level technical products, which are commonly outsourced to suppliers, commonly suffer from a long development lead time. The literature points to several research tracks including design automation and data-driven design with possible support. After studying the advantages and disadvantages of each track, a data-driven approachis chosen and studied through two case studies leading to two supporting tools that are expected to improve the development lead time in associated design processes. Feature extraction in CAD as a way to facilitate metamodeling is proposed as the first solution. This support uses the concept of the medial axis to find highly correlated features that can be used in regression models. As for the second supporting tool, an automated CAD script is used to produce a library of images associated with design variants. Dynamic relaxation is used to label each variant with its finite element solution output. Finally, the library is used to train a convolutions neural network that maps screenshots of CAD as input to finite element field answers as output. Both supporting tools can be used to create real-time prediction models in the early conceptual phases of the product development process to explore design space faster and reduce lead time and cost.

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  • 27.
    Arjomandi Rad, Mohammad
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD).
    Cenanovic, Mirza
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD). Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Produktionsutveckling.
    Salomonsson, Kent
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Produktionsutveckling.
    A CAD-based image regression database enabling real-time prediction early in the design process, a case study on the airbag design processManuscript (preprint) (Other academic)
  • 28.
    Arjomandi Rad, Mohammad
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD).
    Raudberget, Dag
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Production development. Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD).
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Product design and development (PDD). Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design, JTH, Production development.
    Data-driven and Real-time Prediction Models for Highly Iterative Product Development Processes2022In: Transdisciplinarity and the Future of Engineering / [ed] B. R. Moser, P. Koomsap, J. Stjepandić, IOS Press, 2022, p. 463-472Conference paper (Refereed)
    Abstract [en]

    Some high-level technical products are associated with transdisciplinary simulation-driven design processes. Therefore, their design process involves many stakeholders and is prone to frequent changes, leading to a highly iterative process with a long lead time. Despite the decades of statistical approximations and metamodeling techniques on prediction models, companies are still striving toachieve fully automated real-time predictions in early design phases. The literature study shows a gap in existing methods such as not being fully real-time or suffering from high dimensionality. This paper presents a generic model for the development process of such described products and motivation for such modeling through a series of semi-structured interviews with an automotive sub-supplier company. The proposed process model points to the digital verification in every design loop as the bottleneck which is then confirmed by interviewees. As alternative solutions to overcome the problems, a method for data-driven and real-time prediction models is presented to enable the designer to foresee the consequence of their decision in the design phase. To evaluate the method, two examples of such real-time metamodeling techniques, developed in an ongoing research project are discussed. The proposed examples confirm that the framework can reduce lead time spent on digital verification and therefore accelerate the design process in such products.

  • 29.
    Arvidsson, Simon
    et al.
    Jönköping University, School of Engineering, JTH, Department of Computing.
    Gabrielsson, Patrick
    Jönköping University, School of Engineering, JTH, Department of Computing.
    Johansson, Ulf
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets2021In: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, p. 1-7Conference paper (Refereed)
    Abstract [en]

    Polandball comics are hand-drawn satirical content that portray personified countries in a unique style. Although certain parts of these comics, such as ball outlines, are easy to draw, some country flags are complex and require time, effort, and skill to depict correctly. Convolutional Neural Networks have shown success in image synthesis tasks but lack the ability to rescale and rotate images for texture mapping. The domain of Virtual Try-On Networks has made great progress in networks that can handle spatially invariant transforms. We show that similar methods can be used in another domain dependent on texture mapping, namely generating valid, rule-abiding Poland-ball characters given an outline and a country flag. To evaluate our method we make use of the Fréchet Inception Distance where we achieved a score of 34.9. Multiple configurations of the model were evaluated to show that all modules used in the model contribute to the achieved performance. The main contributions in this paper are: a model that can be used by Polandball artists to aid in comic creation and a dataset with over 40,000 labeled Polandball characters for computer vision tasks.

  • 30.
    Aussenac-Gilles, Nathalie
    et al.
    IRIT-CNRS Toulouse, France.
    Hahmann, TorstenUniversity of Maine, USA.Galton, AntonyUniversity of Exeter, UK.Hedblom, Maria M.Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Formal ontology in information systems: Proceedings of the 13th International Conference (FOIS 2023)2023Conference proceedings (editor) (Refereed)
    Abstract [en]

    FOIS is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization which promotes interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science.

    This book presents the papers delivered at FOIS 2023, the 13th edition of the Formal Ontology in Information Systems conference. The event was held as a sequentially-hybrid event, face-to-face in Sherbrooke, Canada, from 17 to 20 July 2023, and online from 18 to 20 September 2023. In total, 62 articles from 19 different countries were submitted, out of which 25 were accepted for inclusion in the conference and for publication; corresponding to an acceptance rate of 40 percent.

    The contributions are separated into the book’s three sections: (1) Foundational ontological issues; (2) Methodological issues around the development, alignment, verification and use of ontologies; and (3) Domain ontologies and ontology-based applications. In these sections, ontological aspects from a wide variety of fields are covered, primarily from various engineering domains including cybersecurity, manufacturing, petroleum engineering, and robotics, but also extending to the humanities, social sciences, medicine, and dentistry. A noticeable trend among the contributions in this edition of the conference is the recognition that improving the tools to analyze, align, and improve ontologies is of paramount importance in continuing to advance the field of formal ontology.

    The book will be of interest to all formal and applied ontology researchers, and to those who use formal ontologies and information systems as part of their work.

  • 31.
    Backofen, Rolf
    et al.
    Friedrich-Schiller-Universität Jena, Germany.
    Badea, Liviu
    National Institute for Research and Development in Informatics, Bucharest, Romania.
    Barahona, Pedro
    Universidade Nova de Lisboa, Portugal.
    Berndtsson, Mikael
    University of Skövde, Sweden.
    Burger, Albert
    Heriot-Watt University/MRC Human GeneticsUnit, Edinburgh, UK.
    Dawelbait, Gihan
    Technische Universität Dresden, Germany.
    Doms, Andreas
    Technische Universität Dresden, Germany.
    Fages, Francois
    INRIA Rocquencourt, Paris, France.
    Hotaran, Anca
    National Institute for Research and Development in Informatics, Bucharest, Romania.
    Jakoniené, Vaida
    (Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Krippahl, Ludwig
    Universidade Nova de Lisboa, Portugal.
    Lambrix, Patrick
    (Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    McLeod, Kenneth
    Heriot-Watt University/MRC Human GeneticsUnit, Edinburgh, UK.
    Nutt, Werner
    Heriot-Watt University/MRC Human GeneticsUnit, Edinburgh, UK.
    Olsson, Bjorn
    University of Skövde, Sweden.
    Schroeder, Michael
    Technische Universität Dresden, Germany.
    Schroiff, Anna
    University of Skövde, Sweden.
    Royer, Luc
    Technische Universität Dresden, Germany.
    Soliman, Sylvain
    INRIA Rocquencourt, Paris, France.
    Tan, He
    (Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Tilivea, Doina
    National Institute for Research and Development in Informatics, Bucharest, Romania.
    Will, Sebastian
    Friedrich-Schiller-Universit¨at Jena, Germany.
    Requirements and specification of bioinformatics use cases2005Report (Other academic)
    Abstract [en]

    This deliverable specifies use cases based on bioinformatics research carried out by members ofA2. The use cases involve the use of rules to reason over ontologies and pathways (Dresden,Edinburgh, Paris, Linköping) and rules to specify workflows to integrate bioinformatics data (Lisbon, Skövde, Jena, Bucharest). The use cases are designed as a reference point to foster the take up of A2 use cases by I-work packages. Most notably, many of the use cases specify the need for querying and reactivity with languages like Xcerpt (I4), Erus (I5) and Prova (I5). The use cases range from basic research applications to fully deployed software with an international user base.

  • 32.
    Backofen, Rolf
    et al.
    Albert-Ludwigs-universität Freiburg, Germany.
    Burger, Albert
    Heriot-Watt university Edinburgh, UK.
    Busch, Anke
    Albert-Ludwigs-universität Freiburg, Germany.
    Dawelbait, Gihan
    TU Dresden, Germany.
    Fages, Francois
    INRIA Rocquencourt Paris, France.
    Jakoniené, Vaida
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Lambrix, Patrick
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    McLeod, Kenneth
    Heriot-Watt university Edinburgh, UK.
    Soliman, Sylvain
    INRIA Rocquencourt Paris, France.
    Tan, He
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Will, Sebastian
    Albert-Ludwigs-universität Freiburg, Germany.
    Implementation of prototypes2007Report (Other academic)
  • 33.
    Backofen, Rolf
    et al.
    Friedrich-Schiller-Universität Jena, Germany.
    Mike, Badea
    Victoria University of Manchester, UK.
    Barahona, Pedro
    FCT-UNL, Lisbon.
    Burger, Albert
    Harriot-Watt University, Edinburgh, UK.
    Dawelbait, Gihan
    Technical University of Dresden, Germany.
    Doms, Andreas
    Technical University of Dresden, Germany.
    Fages, Francois
    INRIA Rocquencourt, France.
    Hotaran, Anca
    National Institute for Research and Development in Informatics, Romania.
    Jakoniené, Vaida
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Krippahl, Ludwig
    FCT-UNL, Lisbon.
    Lambrix, Patrick
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    McLeod, Kenneth
    Harriot-Watt University, Edinburgh, UK.
    Möller, Steffen
    Universität Rostock, Germany.
    Nutt, Werner
    Harriot-Watt University, Edinburgh, UK.
    Olsson, Björn
    University of Skövde, Sweden.
    Schroeder, Michael
    Technical University of Dresden, Germany.
    Soliman, Sylvain
    INRIA Rocquencourt, France.
    Tan, He
    Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
    Tilivea, Doina
    National Institute for Research and Development in Informatics, Romania.
    Will, Sebastian
    Friedrich-Schiller-Universität Jena, Germany.
    Usage of bioinformatics tools and identification of information sources2005Report (Other academic)
    Abstract [en]

    Bioinformatics is an important application area for semantic web technologies as much of the data is online and accessible in XML format, as some sites already support web services, and as ontologies are widely used to annotate data. In this deliverable, we give a survey over 18 of the most important bioinformatics resources and discuss their availability and accessibility, which are two of the main criteria for these resources to act as bases for later demonstrators.

  • 34.
    Bae, Juhee
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Helldin, Tove
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Riveiro, Maria
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Visual Data Analysis2019In: Data science in Practice / [ed] A. Said, & V. Torra, Springer, 2019, p. 133-155Chapter in book (Refereed)
    Abstract [en]

    Data Science offers a set of powerful approaches for making new discoveries from large and complex data sets. It combines aspects of mathematics, statistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human user’s possibilities in the discovery process, since the user is estranged from the process of data exploration. This chapter describes the importance of Information Visualization (InfoVis) and visual analytics (VA) within data science and how interactive visualization can be used to support analysis and decision-making, empowering and complementing data science methods. Moreover, we review perceptual and cognitive aspects, together with design and evaluation methodologies for InfoVis and VA.

  • 35.
    Bae, Juhee
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Ventocilla, Elio
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Riveiro, Maria
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Torra, Vicenç
    Högskolan i Skövde, Institutionen för informationsteknologi.
    On the Visualization of Discrete Non-additive Measures2018In: Aggregation Functions in Theory and in Practice AGOP 2017 / [ed] Torra V, Mesiar R, Baets B, Springer, 2018, p. 200-210Conference paper (Refereed)
    Abstract [en]

    Non-additive measures generalize additive measures, and have been utilized in several applications. They are used to represent different types of uncertainty and also to represent importance in data aggregation. As non-additive measures are set functions, the number of values to be considered grows exponentially. This makes difficult their definition but also their interpretation and understanding. In order to support understability, this paper explores the topic of visualizing discrete non-additive measures using node-link diagram representations.

  • 36. Baptista, Ana Alice
    et al.
    Linde, PeterBlekinge Tekniska Högskola, Biblioteket.Lavesson, NiklasBlekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.Brito, Miguel Abrunhosa de
    Social Shaping of Digital Publishing: Exploring the Interplay Between Culture and Technology - Proceedings of the 16th International Conference on Electronic Publishing2012Collection (editor) (Other academic)
    Abstract [en]

    Since the advent of the Web, the processes and forms of electronic publishing have been changing. The open access movement has been a major driver of change in recent years with regard to scholarly communication; however, changes are also evident in other fields of application such as e-government and e-learning. In most cases these changes are driven by technological advances, but there are also cases where a change in social reality pushes technological development. Both the social and mobile web and linked data are currently shaping the edge of research in digital publishing. Liquid publishing is on the more daring agendas. Digital preservation is an issue that poses great challenges which are still far from being solved. The legal issues, security and trust continue to deserve our full attention. We need new visualization techniques and innovative interfaces that will keep pace with the global dimension of information. This is the current scenario, but what will follow? What are the technologies and social and communication paradigms that we will be discussing in ten or twenty years? ELPUB 2012 focuses on the social shaping of digital publishing, exploring the interplay between culture and technology. This makes the fact that it is being held in the European Capital of Culture for 2012, Guimarães, Portugal, all the more appropriate. 52 submissions were received for ELPUB 2012, from which 23 articles and 10 posters were accepted after peer review. Of the accepted articles, 11 were submitted as full articles and 12 as extended abstracts. These articles have been grouped into sessions on the following topics: Sessions 1 and 4 – Digital Scholarship & Publishing; Session 2 – Special Archives; Session 3 – Libraries & Repositories, Session 5 – Digital Texts & Readings, and Session 6 – Future Solutions & Innovations. The programme features two keynote speeches. Kathleen Fitzpatrick's speech is entitled “Planned Obsolescence: Publishing, Technology, and the Future of the Academy”, that of Antonio Câmara is entitled “Publishing in 2021”. Finally we call your attention to the panel on e-books, which is entitled “Academic e-books – Technological hostage or cultural redeemer?”. We believe this is another great edition of the ELPUB conference. We would like to take this opportunity to thank both the members of the ELPUB executive committee and the members of the local advisory committee, for making it happen. Together they provided valuable advice and assistance during the entire organization process. Secondly we would like to mention our colleagues on the program committee, who assured the quality of the conference through the peer review process. Last but not least, we wish to thank the local organization team for ensuring that all this effort culminates in a very interesting scientific event on the 14th and 15th of June. Thank you all for helping us to maintain the quality of ELPUB and merit the trust of our authors and attendees. We wish you all a good conference and we say farewell, hoping to see you again in Sweden in 2013!

  • 37.
    Barkhuus, Louise
    et al.
    University of California, San Diego, California, USA.
    Lecusay, Robert
    University of California, San Diego, California, USA.
    Social infrastructures as barriers and foundation for informal learning: Technology integration in an urban after-school center2012In: Computer Supported Cooperative Work: The Journal of Collaborative Computing and Work Practices, ISSN 0925-9724, E-ISSN 1573-7551, Vol. 21, no 1, p. 81-103Article in journal (Refereed)
    Abstract [en]

    In this paper we explore the relationship between social learning environments and the technological ecologies that practitioners, learners, and researchers develop to sustain them. Through an examination of ethnographic research conducted at an urban after-school learning program we show how social, technological and power infrastructures influence learning and interaction in this setting. Adopting a holistic approach we examine how technologies are integrated into activities in this program to support the learning of the after-school youth. We emphasize both positive and negative infrastructures that contribute to the learning environment and discuss how identifying these infrastructures are one of the first steps towards understanding and informing technology design in informal learning settings.

  • 38.
    Barn, Balbir S.
    et al.
    Middlesex University, London, UK.
    Sandkuhl, KurtJönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University, Rostock, Germany.
    The Practice of Enterprise Modeling: 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23-25, 2022, Proceedings2022Conference proceedings (editor) (Refereed)
  • 39.
    Bauer, Jakob Johannes
    et al.
    Vienna University of Technology, Vienna, Austria.
    Eiter, Thomas
    Vienna University of Technology, Vienna, Austria.
    Ruiz, Nelson Higuera
    Vienna University of Technology, Vienna, Austria.
    Oetsch, Johannes
    Vienna University of Technology, Vienna, Austria.
    Neuro-symbolic Visual Graph Question Answering with LLMs for language parsing2023Conference paper (Refereed)
    Abstract [en]

    Images containing graph-based structures are an ubiquitous and popular form of data representation that, to the best of our knowledge, have not yet been considered in the domain of Visual Question Answering (VQA). We provide arespective novel dataset and present a modular neuro-symbolic approach as a first baseline. Our dataset extends CLEGR, an existing dataset for question answering on graphs inspired by metro networks. Notably, the graphs there are given in symbolic form, while we consider the more challenging problem of taking images of graphs as input. Our solution combines optical graph recognition for graph parsing, a pre-trained optical character recognition neural network for parsing node labels, and answer-set programming for reasoning. The model achieves an overall average accuracy of 73% on the dataset. While regular expressions are sufficient to parse the natural language questions, we also study various large-language models to obtain a more robust solution that also generalises well to variants of questions that are not part of the dataset. Our evaluation provides further evidence of the potential of modular neuro-symbolic systems, in particular with pre-trained models, to solve complex VQA tasks.

  • 40.
    Beauxis-Aussalet, Emma
    et al.
    Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
    Behrisch, Michael
    Utrecht University, Utrecht, The Netherlands.
    Borgo, Rita
    King’s College London, London, United Kingdom.
    Chau, Duen Horng
    Georgia Tech, Atlanta, GA, USA.
    Collins, Christopher
    Ontario Tech University, Ontario, Canada.
    Ebert, David
    University of Oklahoma, Norman, OK, USA.
    El-Assady, Mennatallah
    University of Konstanz, Konstanz, Germany.
    Endert, Alex
    Georgia Tech, Atlanta, GA, USA.
    Keim, Daniel A.
    University of Konstanz, Konstanz, Germany.
    Kohlhammer, Jörn
    Fraunhofer IGD, Darmstadt, Germany.
    Oelke, Daniela
    Offenburg University, Offenburg, Germany.
    Peltonen, Jaakko
    Tampere University, Tampere, Finland.
    Riveiro, Maria
    Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
    Schreck, Tobias
    Graz University of Technology, Graz, Austria.
    Strobelt, Hendrik
    IBM Research, Cambridge, MA, USA.
    van Wijk, Jarke J
    Eindhoven University of Technology, Eindhoven, The Netherlands.
    Rhyne, Theresa-Marie
    The Role of Interactive Visualization in Fostering Trust in AI2021In: IEEE Computer Graphics and Applications, ISSN 0272-1716, E-ISSN 1558-1756, Vol. 41, no 6, p. 7-12Article in journal (Refereed)
    Abstract [en]

    The increasing use of artificial intelligence (AI) technologies across application domains has prompted our society to pay closer attention to AI's trustworthiness, fairness, interpretability, and accountability. In order to foster trust in AI, it is important to consider the potential of interactive visualization, and how such visualizations help build trust in AI systems. This manifesto discusses the relevance of interactive visualizations and makes the following four claims: i) trust is not a technical problem, ii) trust is dynamic, iii) visualization cannot address all aspects of trust, and iv) visualization is crucial for human agency in AI.

  • 41.
    Bekkhus, Max
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Arvidsson, Lucas
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Resource utilization and performance: A comparative study on mobile crossplatform tools2020Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
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  • 42.
    Bengtsson, Tomas
    et al.
    Jönköping University, School of Engineering, JTH. Research area Robust Embedded Systems.
    Kumar, Shashi
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Robust Embedded Systems.
    Ubar, R.
    Jutman, Artur
    Peng, Zebo
    Test methods for crosstalk-induced delay and glitch faults in network-on-chip interconnects implementing asynchronous communication protocols2008In: IET Computers and Digital Techniques, ISSN 1751-8601, Vol. 2, no 6, p. 445-460Article in journal (Refereed)
  • 43.
    Bergström, Erik
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Thesis Proposal: A Method for Information Classification2017Report (Other academic)
    Abstract [en]

    In the highly digitalized world in which we live today, information and information systems have become key assets to organizations.  These assets need to be managed properly because it is difficult to safeguard assets that an organization does not know exist and does not know the value they offer. In an Information Security Management System (ISMS), asset management is an important activity as it aims at identifying, assigning ownership and adding protection to information assets. Within asset management, one activity is information classification that has the objective to ensure that information receives an appropriate level of protection in accordance with its importance to the organization. In practice, this is usually done using a classification scheme, and the result is handled as input to the risk analysis. Information classification is a well-known practice for all kind of organizations, both in the private and public sector, and is included in different variants in standards such as ISO/IEC 27002, COBIT and NIST-SP800.

    However, information classification has received little attention from academia, and many organizations are struggling with the implementation. Little is known about the reasons behind why it is problematic, and how to address such issues. Furthermore, the existing methods, described in, e.g., standards do not provide a coherent and systematic approach to information classification. The short descriptions in standards, and literature alike, leave out important aspects needed for many to adopt any kind of information classification. For instance, there is a lack of detailed descriptions regarding (1) overview of procedures, and concepts, (2) which roles are involved in the classification, and how they interact, (3) how to tailor the method for different situations and (4) a framework that structures and guides the classification. If information classification is not implemented in an organization, the organization might not know what information they possess, what the value of the information is, but even if it is implemented, an unclear approach can lead to information being under or overvalued, which, in turn, lead to under or overprotected information.

    This thesis aims to increase the applicability of information classification by devising a method for information classification in ISMS that draws from established standards and practice. In order to address this aim, a Design Science Research (DSR) study has been performed in five cycles. The contributions so far include an identification of issues and enablers for information classification and propose a component-based method for information classification. Furthermore, eighth design principles underpinning an information classification method are presented. Additionally, an outline for further research is provided, where the objectives are to further develop the method by addressing the context around information classification (the risk analysis and security controls), and by adding usage views to the method. Finally, a security declaration as an addition to the information classification method is outlined as a complement for tying security controls to the information classification scheme. 

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  • 44.
    Bergström, Erik
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Carlén, Urban
    Högskolan i Skövde, Institutionen för hälsa och lärande.
    Lennerholt, Christian
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Certifications in Higher Education - Friend or Foe?2014Conference paper (Refereed)
    Abstract [en]

    The aim of this study is to investigate the uncritical approach among teachers and students of how certifications are used and applied within higher education. This paper offers a clearer image of how to use certification in a learning environment that support student learning and further developing the academia as a learning organisation.  In the last decade universities worldwide has started to adopt certifications offered by multinational corporations, such as Cisco and Microsoft. For example, Cisco’s curriculum is taught in over 10.000 academies such as universities to more than 1.000.000 students currently, which reveals the huge influences those certifications have for the organisation of courses and examination of academic skills.  Academy and industry needs to collaborate to offer students relevant tools and knowledge, but the lack of uncritical views based on scientific values and proven experience challenges teachers to explicit what knowledge have to be taught within academia to reach further academic goals.  The methods used are initially a literature study to identify positive aspects and challenges with integrated certifications. Based on these results, we have performed interviews with students, teachers and certified instructors with different backgrounds.  Literature describing information and communications technology (ICT) certifications mainly refer to positive aspects such as meeting job market needs, standardisation of courses, and decreased time for course development. Challenges identified raise several questions and call for further investigation. Among challenges identified were companies practically deciding examination criteria, student’s recall learnt material rather than understanding concepts, and the usage of non-academic material.  Interviews reveal that students are aware of many challenges, but still the benefits of achieving a certification outweighs. For instance, students rather accept a course with out-dated material and company decided examination criteria that result in a certification than taking a course based on research and examinations that foster creativity through reflection, analysing skills with no certification.  From a teacher and instructor perspective, the interviews reveal that there is awareness about the challenges of using certifications in higher education. One of the pedagogical issues we would like to present is how to create a learning environment with embedded certification in a course rather than basing courses on certifications alone.  This paper also open up for a discussion on how these results affect other areas than the ICT domain, but also on how the challenges can be tackled from a higher education perspective that rethink the academia as a learning organisation. 

  • 45.
    Bergström, Erik
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Åhlfeldt, Rose-Mharie
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Information Classification Issues2014In: Secure IT Systems: 19th Nordic Conference, NordSec 2014, Tromsø, Norway, October 15-17, 2014, Proceedings / [ed] Karin Bernsmed & Simone Fischer-Hübner, Springer , 2014, p. 27-41Conference paper (Refereed)
    Abstract [en]

    This paper presents an extensive systematic literature review with the aim of identifying and classifying issues in the information classification process. The classification selected uses human and organizational factors for grouping the identified issues. The results reveal that policy-related issues are most commonly described, but not necessarily the most crucial ones. Furthermore, gaps in the research field are identified in order to outline paths for further research.

  • 46.
    Berkman, Anton
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Andersson, Gustav
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Predicting the impact of prior physical activity on shooting performance2019Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The objectives of this thesis were to develop a machine learning tool-chain and to investigate the relationship between heart rate and trigger squeeze and shooting accuracy when firing a handgun in a simulated environment. There are several aspects that affects the accuracy of a shooter. To accelerate the learning process and to complement the instructors, different sensors can be used by the shooter. By extracting sensor data and presenting this to the shooter in real-time the rate of improvement can potentially be accelerated. An experiment which replicated precision shooting was conducted at SAAB AB using their GC-IDT simulator. 14 participants with experience ranging from zero to over 30 years participated. The participants were randomly divided into two groups where one group started the experiment with a heart rate of at least 150 beats per minute. The iTouchGlove2.3 was used to measure trigger squeeze and Polar H10 heart rate belt was used to measure heart rate. Random forest regression was then used to predict accuracy on the data collected from the experiment. A machine learning tool-chain was successfully developed to process raw sensor data which was then used by a random forest regression algorithm to form a prediction. This thesis provides insights and guidance for further experimental explorations of handgun exercises and shooting performance.

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  • 47. Beyene, Ayne A.
    et al.
    Welemariam, Tewelle
    Persson, Marie
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Lavesson, Niklas
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Improved concept drift handling in surgery prediction and other applications2015In: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 44, no 1, p. 177-196Article in journal (Refereed)
    Abstract [en]

    The article presents a new algorithm for handling concept drift: the Trigger-based Ensemble (TBE) is designed to handle concept drift in surgery prediction but it is shown to perform well for other classification problems as well. At the primary care, queries about the need for surgical treatment are referred to a surgeon specialist. At the secondary care, referrals are reviewed by a team of specialists. The possible outcomes of this review are that the referral: (i) is canceled, (ii) needs to be complemented, or (iii) is predicted to lead to surgery. In the third case, the referred patient is scheduled for an appointment with a surgeon specialist. This article focuses on the binary prediction of case three (surgery prediction). The guidelines for the referral and the review of the referral are changed due to, e.g., scientific developments and clinical practices. Existing decision support is based on the expert systems approach, which usually requires manual updates when changes in clinical practice occur. In order to automatically revise decision rules, the occurrence of concept drift (CD) must be detected and handled. The existing CD handling techniques are often specialized; it is challenging to develop a more generic technique that performs well regardless of CD type. Experiments are conducted to measure the impact of CD on prediction performance and to reduce CD impact. The experiments evaluate and compare TBE to three existing CD handling methods (AWE, Active Classifier, and Learn++) on one real-world dataset and one artificial dataset. TBA significantly outperforms the other algorithms on both datasets but is less accurate on noisy synthetic variations of the real-world dataset.

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  • 48.
    Bhattacharyya, Prantik
    et al.
    Department of Computer Science, University of California, Davis, USA.
    Rowe, Jeff
    Department of Computer Science, University of California, Davis, USA.
    Wu, Felix
    Department of Computer Science, University of California, Davis, USA.
    Haigh, Karen
    Intelligent Distributed Computing Group, BBN Technologies, USA.
    Lavesson, Niklas
    School of Computing, Blekinge Institute of Technology, Sweden.
    Johnson, Henric
    School of Computing, Blekinge Institute of Technology, Sweden.
    Your Best might not be Good enough: Ranking in Collaborative Social Search Engines2011Conference paper (Refereed)
    Abstract [en]

    A relevant feature of online social networks like Facebook is the scope for users to share external information from the web with their friends by sharing an URL. The phenomenon of sharing has bridged the web graph with the social network graph and the shared knowledge in ego networks has become a source for relevant information for an individual user, leading to the emergence of social search as a powerful tool for information retrieval. Consideration of the social context has become an essential factor in the process of ranking results in response to queries in social search engines. In this work, we present InfoSearch, a social search engine built over the Facebook platform, which lets users search for information based on what their friends have shared. We identify and implement three distinct ranking factors based on the number of mutual friends, social group membership, and time stamp of shared documents to rank results for user searches. We perform user studies based on the Facebook feeds of two authors to understand the impact of each ranking factor on the result for two queries.

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  • 49.
    Billig, Andreas
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    A TRIPLE-Oriented Approach for Integrating Higher-Order Rules and External Contexts2008In: Web Reasoning and Rule Systems, Second International Conference, RR 2008, Karlsruhe, Germany, October 31-November 1, 2008, Heidelberg: Springer , 2008, p. 214-221Conference paper (Refereed)
    Abstract [en]

     

     

    In recent years, many researchers in the area of reasoning have focussed on the adoption of rule languages for the Semantic Web that led to remarkable approaches offering various functionality. On one hand, this included language elements of the rule part itself like contexts, higher-orderness, and non-monotonic negation. On the other hand, the proper integration with ontology languages like RDF and OWL had to consider language-speci c properties like disjunctivity as well as the demand for using existing external components. The paper proposes a T

     

    riple-oriented hybrid language that integrates the mentioned language elements.

     

     

  • 50.
    Billig, Andreas
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Blomqvist, Eva
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Semantic Matching based on Enterprise Ontologies2007In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Conference paper (Refereed)
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