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  • 1.
    Abghari, Shahrooz
    et al.
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Boeva, Veselka
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Lavesson, Niklas
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, 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 Mining2018Ingår i: ACM SIGKDD Workshop On Outlier Detection De-constructed, 2018Konferensbidrag (Refereegranskat)
    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.

  • 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
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, 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 Sequences2018Ingår i: The 17th IEEE International Conference on Machine Learning and Applications Special Session on Machine Learning Algorithms, Systems and Applications, IEEE, 2018Konferensbidrag (Refereegranskat)
    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.

  • 3.
    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
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, 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
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, 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 discovery2017Ingår i: 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, s. 174-184Konferensbidrag (Refereegranskat)
    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.

  • 4.
    Aidemark, Jan
    et al.
    Linnaeus University.
    Askenäs, Linda
    Linnaeus University.
    Nygårdh, Annette
    Högskolan i Jönköping, Hälsohögskolan, HHJ, Avd. för omvårdnad. Högskolan i Jönköping, Hälsohögskolan, 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 patients2015Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 64, s. 118-124Artikel i tidskrift (Refereegranskat)
    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.

  • 5.
    Ajegunma, Solomon
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Onoberhie, Kennedy
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Pasupathy, Ramadevi
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Exploring the Integration of Enterprise Systems Solutions Within A Supply Chian2011Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    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.

  • 6.
    Albertsen, Thomas
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Tarasov, Vladimir
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
    Towards Competence Modeling and Competence Matching for Network-Based Defense2008Ingår i: Stockholm contributions in Military-Technology 2007 / [ed] M. Norsell, Stockholm: Swedish National Defence College , 2008, s. 9-22Kapitel i bok, del av antologi (Övrigt vetenskapligt)
  • 7.
    Al-Ghareeb, Meelad
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik.
    Vibration exposure model for human operators working with chainsaw equipment.2018Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
  • 8.
    Alirezaie, Marjan
    et al.
    Örebro University.
    Hammar, Karl
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
    Blomqvist, Eva
    SICS - East Swedish ICT.
    SmartEnv as a Network of Ontology Patterns2018Ingår i: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 9, nr 6, s. 903-918Artikel i tidskrift (Refereegranskat)
    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.

  • 9.
    Alirezaie, Marjan
    et al.
    Örebro Universitet.
    Hammar, Karl
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, 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@home2018Ingår i: 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, s. 72-79Konferensbidrag (Refereegranskat)
    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.

  • 10.
    Allahyari, Hiva
    et al.
    Blekinge Institute of Technology, Karlskrona, Sweden.
    Lavesson, Niklas
    Blekinge Institute of Technology, Karlskrona, Sweden.
    User-oriented Assessment of Classification Model Understandability2011Konferensbidrag (Refereegranskat)
    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.

  • 11.
    Ambrose, William
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Athley, Samuel
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Dagland, Niclas
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Cloud Computing: Security Risks, SLA, and Trust2010Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    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.

  • 12.
    Andersson, Martin
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Strand, Niklas
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Virtualisering för en effektivare laborationsmiljö2012Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Som IT-företag har man ett behov av att laborera med den teknik man levererar till sina kunder. För att öka effektiviteten i dessa laborationsmiljöer bör man sträva efter att minska genomförandetiden för de olika arbetsmoment som ingår i labo-rationerna. TDC, som levererar kommunikationslösningar, har en laborationsmiljö på sitt kontor i Växjö. Arbetet innefattar tidsödande ominstallationer av servrar. Ett annat problem är att man i dagsläget ofta fysiskt måste befinna sig i laborat-ionsmiljön vilket begränsar arbetet då personer som inte befinner sig på samma kontor inte kan använda utrustningen. Under laborationer finns ofta ett behov av att rensa servrar och nätverksenheter för att sedan utföra ominstallation eller om konfiguration, arbetsmoment som kan ha hög tidsåtgång. Syftet med arbetet är att ta fram riktlinjer för hur man bygger upp effektiva laborationsmiljöer för nätverk-senheter och servrar med hjälp av bland annat virtualisering, samt att reducera behovet av fysisk tillgång till laborationsutrustning.

    Under arbetets gång utfördes en workshop, regelbundna telefonavstämningar, laborationer och en litteratursökning. Målet har varit att ta fram riktlinjer för hur man bygger effektiva laborationsmiljöer. Laborationerna innefattade virtualisering och extern lagring. Genom att utföra litteratursökningen i ett flertal databaser har man hittat källor för att stödja teori och resultat.

    Riktlinjerna som tagits fram visar hur man minskarbehovet av fysisk närvaro ge-nom att möjliggöra fjärråtkomst samt genom att ha en väl planerad nätverksstruk-tur. Genom att använda fjärranslutningar på rätt sätt kommer man åt utrustningen även om nätverksutrustningen i laborationsmiljön inte är fullt funktionell. Om man har ett instickskort för remote management i servern går det ofta att komma åt servrar via ett gränssnitt så länge den har ström och nätverksåtkomst. På det sättet kan man via fjärranslutning stänga av och starta servern samt installera ope-rativsystem på den. För att minska tidsåtgånen vid rensning och ominstallat-ion/omkonfiguration av servrar och nätverksenheter kan man använda sig av virtualiering med ögonblicksbilder och nätverksenheters konfiguration kan sparas på servrar. Företag utnyttjar generellt sett bara en liten del av sin serverkapacitet. För att använda kapaciteten effektivare och på så sätt vara mer ekonomisk är vir-tualisering en bra lösning. Rent administrativt bör laborationsmiljön och dess rutiner vara mycket väl dokumenterade.

  • 13.
    Argyrou, Argyris
    Hanken School of Economics, Helsinki, Finland.
    Auditing journal entries using extreme value theory2013Ingår i: ECIS 2013 - Proceedings of the 21st European Conference on Information Systems, Association for Information Systems, 2013Konferensbidrag (Refereegranskat)
    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.

  • 14.
    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 cases2005Rapport (Övrigt vetenskapligt)
    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.

  • 15.
    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 prototypes2007Rapport (Övrigt vetenskapligt)
  • 16.
    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 sources2005Rapport (Övrigt vetenskapligt)
    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.

  • 17.
    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 Measures2018Ingår i: Aggregation Functions in Theory and in Practice AGOP 2017 / [ed] Torra V, Mesiar R, Baets B, Springer, 2018, s. 200-210Konferensbidrag (Refereegranskat)
    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.

  • 18. 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 Publishing2012Samlingsverk (redaktörskap) (Övrigt vetenskapligt)
    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!

  • 19.
    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 center2012Ingår i: Computer Supported Cooperative Work, ISSN 0925-9724, E-ISSN 1573-7551, Vol. 21, nr 1, s. 81-103Artikel i tidskrift (Refereegranskat)
    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.

  • 20.
    Bengtsson, Tomas
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Robusta inbyggda system.
    Kumar, Shashi
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Robusta inbyggda system.
    Ubar, R.
    Jutman, Artur
    Peng, Zebo
    Test methods for crosstalk-induced delay and glitch faults in network-on-chip interconnects implementing asynchronous communication protocols2008Ingår i: IET Computers and Digital Techniques, ISSN 1751-8601, Vol. 2, nr 6, s. 445-460Artikel i tidskrift (Refereegranskat)
  • 21. 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 applications2015Ingår i: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 44, nr 1, s. 177-196Artikel i tidskrift (Refereegranskat)
    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.

  • 22.
    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 Engines2011Konferensbidrag (Refereegranskat)
    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.

  • 23.
    Billig, Andreas
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    A TRIPLE-Oriented Approach for Integrating Higher-Order Rules and External Contexts2008Ingår i: Web Reasoning and Rule Systems, Second International Conference, RR 2008, Karlsruhe, Germany, October 31-November 1, 2008, Heidelberg: Springer , 2008, s. 214-221Konferensbidrag (Refereegranskat)
    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.

     

     

  • 24.
    Billig, Andreas
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Lin, Feiyu
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Semantic Matching based on Enterprise Ontologies2007Ingår i: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Konferensbidrag (Refereegranskat)
  • 25.
    Björkman, Lucas
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Erixon, Jimmy
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Produktkonfigurator2010Självständigt arbete på grundnivå (högskoleexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Rapporten presenterar skapandet av en produktkonfigurator och flera förslag på hur den kan förbättras. Uppdraget gavs av System Andersson till två studenter på Jönköpings Tekniska Högskola som genomförde detta som sitt examensarbete.

    Rapporten diskuterar möjliga lösningar på en produktkonfigurator och visar ett resultat som utgår från dessa lösningar. Produktkonfiguratorn i rapporten består av två delar.

    Dels konfigurationsdelen som hjälper användaren att skapa nya produkter utifrån valda artiklar. Artiklarna sorteras automatiskt av produktkonfiguratorn så att endast kompatibla artiklar kan sättas ihop. Detta sker med ett ”drag and drop” gränssnitt.

    Dessutom innehåller produktkonfiguratorn en kompatibilitetsdel, vars uppgift är att underlätta vid definierandet av kompatibilitet mellan artiklar. Detta kan göras löpande under tiden en produkt konfigureras om så önskas. Användaren kan välja på två eller flera artiklar som ska vara kompatibla med varandra, eller hela kategorier.

    Sist i rapporten diskuteras de val som gjorts under arbetets gång och möjliga förbättringar som kan göras på produktkonfiguratorn.

  • 26.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Case-based Reasoning for Ontology Engineering2008Ingår i: Tenth Scandinavian Conference on Artificial Intelligence - SCAI 2008, Amsterdam: IOS Press , 2008, s. 36-43Konferensbidrag (Refereegranskat)
    Abstract [en]

    When developing semantic applications, constructing the underlying ontologies is a crucial part. Construction of both Semantic Web and enterprise ontologies need to be semi-automatic in order to reduce the effort required and the need for expert ontology engineers. Another important issue is to introduce knowledge reuse in the ontology construction process. By basing our semi-automatic method on the principles of case-based reasoning (CBR) we envision a novel semi-automatic ontology construction approach and also a novel application of case-based reasoning. The development of OntoCase is still ongoing work, in this paper we report mainly on the motivation for using CBR and the possible benefits of this.

  • 27.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    OntoCase - A Pattern-based Ontology Construction Approach2007Ingår i: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Konferensbidrag (Refereegranskat)
  • 28.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Pattern Ranking for Semi-automatic Ontology Construction2008Ingår i: Proceedings of the 2008 ACM symposium on Applied computing: Track on Semantic Web and Applications (SWA), 2008, s. 2248-Konferensbidrag (Refereegranskat)
    Abstract [en]

    When developing semantic applications, the construction

    of ontologies is a crucial part. We are developing a semiautomatic

    ontology construction approach, OntoCase, relying

    on ontology patterns as additional resources. A crucial

    part of this approach is how to select the appropriate patterns

    based on the input representation extracted from a

    text corpus. In this paper, we suggest a pattern ranking

    and selection approach with the ability to partially bridge

    the gap between abstract patterns and specific terms, as well

    as being specifically tuned to the characteristics of ontology

    patterns. Compared to existing ontology ranking schemes

    our approach adds indirect matching of terms as well as relation

    matching. An initial experiment indicates that Onto-

    Case ranking performs better, especially when ranking small

    and abstract patterns, than existing ranking approaches.

  • 29.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
    Semi-automatic Ontology Engineering using Patterns2007Ingår i: Proceedings of ISWC07 Doctoral Consortium, Busan, Korea, November 11-15, 2007, 2007Konferensbidrag (Refereegranskat)
  • 30.
    Blomqvist, Eva
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    State of the Art: Patterns in Ontology Engineering2004Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This report brings together three different areas, Ontology Learning, ontology reuse and patterns in Computer Science in general. These three areas may not seem to have much in common but the report aims to illustrate the potential of bringing them together and to outline research possibilities in the field. Patterns have been successfully applied as a means for facilitating reuse and managing complexity in many areas. So far not many pattern approaches have emerged in Ontology Engineering especially when considering patterns for use with Ontology Learning systems or patterns to facilitate reuse of ontologies. This report is concluded by a discussion about future research possibilities in the field. Among other things more exchange between Ontology Engineering and Software Engineering is suggested. Researchers should draw from already existing knowledge when creating ontology patterns. The most interesting applications of ontology patterns in the future are to further facilitate Ontology Learning, by for example using the patterns as construction templates, and to facilitate reuse of ontologies by using the patterns to search and sort ontology libraries.

  • 31.
    Blomqvist, Eva
    et al.
    Linköping University, Department of Computer and Information Science; STLab, ISTC-CNR.
    Gangemi, AldoSTLab, ISTC-CNR.Hammar, KarlHögskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).Suárez-Figueroa, Mari CarmenOntology Engineering Group, Universidad Politécnica de Madrid.
    WOP 2012: Proceedings of the 3rd Workshop on Ontology Patterns2012Proceedings (redaktörskap) (Refereegranskat)
  • 32.
    Blomqvist, Eva
    et al.
    Linköping University, Linköping, Sweden.
    Hammar, Karl
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
    Presutti, Valentina
    ISTC-CNR, Rome, Italy.
    Engineering Ontologies with Patterns - The eXtreme Design Methodology2016Ingår i: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, s. 23-50Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    When using Ontology Design Patterns (ODPs) for modelling new parts of an ontology, i.e., new ontology modules, or even an entire ontology from scratch, ODPs can be used both as inspiration for different modelling solutions, as well as concrete templates or even “building blocks” reused directly in the new solution. This chapter discusses how ODPs, and in particular Content ODPs, can be used in ontology engineering. In particular, a specific ontology engineering methodology is presented, which was originally developed for supporting ODP use. However, this methodology, the eXtreme Design (XD), also has some characteristics that set it apart from most other ontology engineering methodologies, and which may be interesting to consider regardless of how much emphasis is put on the ODP usage. Towards the end of the chapter some XD use cases are also reported and discussed, as well as lessons learned from applying XD. The chapter is concluded through a summary and discussion about future work.

  • 33.
    Blomqvist, Eva
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Levashova, Tatiana
    Öhgren, Annika
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Smirnov, Alexander
    Tarasov, Vladimir
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
    Configuration of Dynamic SME Supply Chains Based on Ontologies2005Ingår i: Holonic and Multi-Agent Systems for Manufacturing: Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005. Proceedings / [ed] V. Marik, R. W. Brennan & M. Pechoucek, Springer Berlin/Heidelberg, 2005, s. 246-256Konferensbidrag (Refereegranskat)
    Abstract [en]

    Due to the increasing implementation of agile and networked manufacturing, supply chain has entered a new phase, virtual supply chain. The phase is characterized by the integration of activities, operations, and functions carried out at different and geographically distributed supply chain stages. The paper proposes an approach to the configuration of a network of small and medium-sized enterprises (SMEs) being integrated into a supply chain. The SME supply chain configuration is based on a shared domain ontology for supply chain management, offering the configuration task as a function of supply chain management. Principles of the development of the shared ontology and possible ways of matching between enterprise and domain ontologies are considered.

  • 34.
    Blomqvist, Eva
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Sandkuhl, KurtHögskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.Scharffe, FrancoisSvatek, Vojtek
    Proceedings of the Workshop on Ontology Patterns (WOP 2009): at 8th International Semantic Web Conference, Washington D.C., October 25-29, 20092009Proceedings (redaktörskap) (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    High-quality and reusable ontologies are considered as key element of the Semantic Web and for successful semantic applications. Ontology Design Patterns (ODPs) are addressing these quality and reusability issues by providing different types of patterns supporting ontology designers. ODPs are collected in various repositories, such as the catalogue maintained by the University of Manchester and the ODP portal at small and do not cover all types of patterns and all domains. Semantic Web applications could also benefit from additional types of patterns, such as enterprise model patterns and specialized software patterns for semantic applications.

    Patterns are an approach to knowledge reuse that proved feasible and very beneficial in various areas, such as software engineering and data modeling. Reuse has been an important research subject in ontology engineering and the semantic web community for many years. Patterns need to be shared by a community in order to provide a common language and stimulate pattern usage and development. Hence, the aim of this workshop was twofold

    - providing an arena for proposing and discussing good practices, patterns, pattern-based ontologies, systems etc

    - broadening the pattern community that will develop its own “language” for discussing and describing relevant problems and their solutions.

    The workshop included a track for research papers addressing various aspects of ontology patterns and investigating application areas, and a pattern track focusing on presentation and discussion of actual ontology patterns.

  • 35.
    Blomqvist, Eva
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Öhgren, Annika
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Constructing an enterprise ontology for an automotive supplier2008Ingår i: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 21, nr 3, s. 386-397Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents experiences and conclusions from ontology engineering applied in the automotive suppliers domain. The work focuses on construction of enterprise ontologies to support structuring of enterprise information and knowledge management. Two methods for ontology construction, developed by previous research activities, were used in parallel when developing an ontology for a company in automotive supplier industries. One method is automatic and the other method is a manual approach. A conclusion was that the developed ontologies complemented each other well and therefore the decision was made to merge them for use in the project. The resulting ontology will now be used in several pilot applications.

  • 36.
    Blomqvist, Eva
    et al.
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Öhgren, Annika
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Comparing and Evaluating Ontology Construction in an Enterprise Context2008Ingår i: Enterprise Information Systems: 8th International Conference, ICEIS 2006, Paphos, Cyprus, May 23-27, 2006, Revised Selected Papers, Berlin-Heidelberg: Springer , 2008, Vol. 3, s. 221-240Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    Structuring enterprise information and supporting knowledge management is a growing application field for enterprise ontologies. Research work presented in this paper focuses on construction of enterprise ontologies. In an experiment, two methods were used in parallel when developing an ontology for a company in automotive supplier industries. One method is based on automatic ontology construction, the other method is a manual approach based on cookbook-like instructions. The paper compares and evaluates the methods and their results. For ontology evaluation, selected approaches were combined including both evaluation by ontology engineers and evaluation by domain experts. The main conclusion is that the compared methods have different strengths and an integration of both developed ontologies and used methods should be investigated.

  • 37.
    Boeva, Veselka
    et al.
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Angelova, Milena
    Technical University Sofia, BUL.
    Lavesson, Niklas
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL). Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Rosander, Oliver
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Tsiporkova, Elena
    Collective Center for the Belgian Technological Industry, BEL.
    Evolutionary clustering techniques for expertise mining scenarios2018Ingår i: ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence, Volume 2 / [ed] van den Herik J.,Rocha A.P., SciTePress, 2018, s. 523-530Konferensbidrag (Refereegranskat)
    Abstract [en]

    The problem addressed in this article concerns the development of evolutionary clustering techniques that can be applied to adapt the existing clustering solution to a clustering of newly collected data elements. We are interested in clustering approaches that are specially suited for adapting clustering solutions in the expertise retrieval domain. This interest is inspired by practical applications such as expertise retrieval systems where the information available in the system database is periodically updated by extracting new data. The experts available in the system database are usually partitioned into a number of disjoint subject categories. It is becoming impractical to re-cluster this large volume of available information. Therefore, the objective is to update the existing expert partitioning by the clustering produced on the newly extracted experts. Three different evolutionary clustering techniques are considered to be suitable for this scenario. The proposed techniques are initially evaluated by applying the algorithms on data extracted from the PubMed repository. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

  • 38.
    Boeva, Veselka
    et al.
    Computer Systems and Technologies Department, Technical University of Sofia, branch Plovdiv, Plovdiv, Bulgaria.
    Ivanova, Petia
    Computer Systems and Technologies Department, Technical University of Sofia, branch Plovdiv, Plovdiv, Bulgaria.
    Lavesson, Niklas
    School of Computing Blekinge, Institute of Technology, Ronneby, Sweden.
    A Hybrid Computational Method for the Identification of Cell Cycle-regulated Genes2010Konferensbidrag (Refereegranskat)
    Abstract [en]

    Gene expression microarrays are the most commonly available source of high-throughput biological data. They have been widely employed in recent years for the definition of cell cycle regulated (or periodically expressed) subsets of the genome in a number of different organisms. These have driven the development of various computational methods for identifying periodical expressed genes. However, the agreement is remarkably poor when different computational methods are applied to the same data. In view of this, we are motivated to propose herein a hybrid computational method targeting the identification of periodically expressed genes, which is based on a hybrid aggregation of estimations, generated by different computational methods. The proposed hybrid method is benchmarked against three other computational methods for the identification of periodically expressed genes: statistical tests for regulation and periodicity and a combined test for regulation and periodicity. The hybrid method is shown, together with the combined test, to statistically significantly outperform the statistical test for periodicity. However, the hybrid method is also demonstrated to be significantly better than the combined test for regulation and periodicity.

  • 39.
    Boldt, Martin
    et al.
    Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden.
    Jacobsson, Andreas
    Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden.
    Lavesson, Niklas
    Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden.
    Davidsson, Paul
    Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden.
    Automated Spyware Detection Using End User License Agreements2008Konferensbidrag (Refereegranskat)
    Abstract [sv]

    Spridandet av spyware har ökat dramatiskt och det är ofta svårt för användaren att veta om spyware kommer att installeras samtidigt som en nedladdat applikation skall installeras. Den här studien undersöker om det är möjligt att avgöra om en applikation innehåller spyware genom att applicera data mining tekniker på applikationens slutanvändarlicens.

  • 40. Borg, Anton
    et al.
    Boldt, Martin
    Lavesson, Niklas
    Blekinge Institute of Technology, School of Computing, Karlskrona, Sweden.
    Informed Software Installation through License Agreement Categorization2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    Spyware detection can be achieved by using machinelearning techniques that identify patterns in the End User License Agreements (EULAs) presented by application installers. However, solutions have required manual input from the user with varying degrees of accuracy. We have implemented an automatic prototype for extraction and classification and used it to generate a large data set of EULAs. This data set is used to compare four different machine learning algorithms when classifying EULAs. Furthermore, the effect of feature selection is investigated and for the top two algorithms, we investigate optimizing the performance using parameter tuning. Our conclusion is that feature selection and performance tuning are of limited use in this context, providing limited performance gains. However, both the Bagging and the Random Forest algorithms show promising results, with Bagging reaching an AUC measure of 0.997 and a False Negative Rate of 0.062. This shows the applicability of License Agreement Categorization for realizing informed software installation.

  • 41.
    Borg, Anton
    et al.
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Boldt, Martin
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Lavesson, Niklas
    Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik.
    Melander, Ulf
    Boeva, Veselka
    Detecting serial residential burglaries using clustering2014Ingår i: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 41, nr 11, s. 5252-5266Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    According to the Swedish National Council for Crime Prevention, law enforcement agencies solved approximately three to five percent of the reported residential burglaries in 2012. Internationally, studies suggest that a large proportion of crimes are committed by a minority of offenders. Law enforcement agencies, consequently, are required to detect series of crimes, or linked crimes. Comparison of crime reports today is difficult as no systematic or structured way of reporting crimes exists, and no ability to search multiple crime reports exist. This study presents a systematic data collection method for residential burglaries. A decision support system for comparing and analysing residential burglaries is also presented. The decision support system consists of an advanced search tool and a plugin-based analytical framework. In order to find similar crimes, law enforcement officers have to review a large amount of crimes. The potential use of the cut-clustering algorithm to group crimes to reduce the amount of crimes to review for residential burglary analysis based on characteristics is investigated. The characteristics used are modus operandi, residential characteristics, stolen goods, spatial similarity, or temporal similarity. Clustering quality is measured using the modularity index and accuracy is measured using the rand index. The clustering solution with the best quality performance score were residential characteristics, spatial proximity, and modus operandi, suggesting that the choice of which characteristic to use when grouping crimes can positively affect the end result. The results suggest that a high quality clustering solution performs significantly better than a random guesser. In terms of practical significance, the presented clustering approach is capable of reduce the amounts of cases to review while keeping most connected cases. While the approach might miss some connections, it is also capable of suggesting new connections. The results also suggest that while crime series clustering is feasible, further investigation is needed.

  • 42.
    Borg, Anton
    et al.
    Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
    Lavesson, Niklas
    Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation.
    E-mail Classification using Social Network Information2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    A majority of E-mail is suspected to be spam. Traditional spam detection fails to differentiate between user needs and evolving social relationships. Online Social Networks (OSNs) contain more and more social information, contributed by users. OSN information may be used to improve spam detection. This paper presents a method that can use several social networks for detecting spam and a set of metrics for representing OSN data. The paper investigates the impact of using social network data extracted from an E-mail corpus to improve spam detection. The social data model is compared to traditional spam data models by generating and evaluating classifiers from both model types. The results show that accurate spam detectors can be generated from the low-dimensional social data model alone, however, spam detectors generated from combinations of the traditional and social models were more accurate than the detectors generated from either model in isolation.

  • 43.
    Boström, Henrik
    et al.
    Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden.
    Linusson, Henrik
    Department of Information Technology, University of Borås, Borås, Sweden.
    Löfström, Tuve
    Department of Information Technology, University of Borås, Borås, Sweden.
    Johansson, Ulf
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik.
    Evaluation of a variance-based nonconformity measure for regression forests2016Ingår i: Conformal and Probabilistic Prediction with Applications, Springer, 2016, s. 75-89Konferensbidrag (Refereegranskat)
    Abstract [en]

    In a previous large-scale empirical evaluation of conformal regression approaches, random forests using out-of-bag instances for calibration together with a k-nearest neighbor-based nonconformity measure, was shown to obtain state-of-the-art performance with respect to efficiency, i.e., average size of prediction regions. However, the use of the nearest-neighbor procedure not only requires that all training data have to be retained in conjunction with the underlying model, but also that a significant computational overhead is incurred, during both training and testing. In this study, a more straightforward nonconformity measure is investigated, where the difficulty estimate employed for normalization is based on the variance of the predictions made by the trees in a forest. A large-scale empirical evaluation is presented, showing that both the nearest-neighbor-based and the variance-based measures significantly outperform a standard (non-normalized) nonconformity measure, while no significant difference in efficiency between the two normalized approaches is observed. Moreover, the evaluation shows that state-of-theart performance is achieved by the variance-based measure at a computational cost that is several orders of magnitude lower than when employing the nearest-neighbor-based nonconformity measure. 

  • 44.
    Buanahagi, Edelson da Glória Baltazar
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Odoko, Akpotareghe
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Knowledge Management as a Strategic Resource to gain Competitive Advantage2012Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Even though knowledge management has progressed from an embryonic to an increasingly recognized discipline over the course of the last decade, the bulk of studies in knowledge management have been descriptive and focused on definitions and integrating existing definitions. There have been relatively few studies (mostly surveys) that focus on knowledge management in relation to other organizational factors (Zack, McKeen & Singh, 2009), and work in the area of knowledge management and competitive advantage has been found to be theoretically and empirically immature and underdeveloped (Chuang, 2004).

     

    Therefore, aim of this research was to fill in the identified gaps by utilizing the resource-based view of a company to conduct an exploratory qualitative study to provide empirical and practical evidence regarding the relationship between knowledge management and competitive advantage. This was done mainly through interviews with knowledge management academics and practitioners in an attempt to have multiple perspectives on the matter to gain deeper understanding.

     

    From the interviews, a number of observations were made. First, knowledge management can be used strategically to gain competitive advantage but this can only be done by introducing a successful knowledge management initiative. This calls for an implementation approach based on focus and measurement as principles and that takes into account strategy, organizational learning, culture and systems and technology as pre-conditional dimensions for a successful knowledge management project. In addition, these principles and preconditions all have to take the people into consideration as the people play a centre role in this system, being the ones that actually establish, run and maintain these mechanisms.

     

    These findings are then synthesized into a knowledge management implementation model that may serve as a starting point for further research in successful knowledge management implementation. Practitioners may also use these findings and model as a tool for successful knowledge management implementation.

  • 45.
    Buendia, Ruben
    et al.
    Department of Information Technology, University of Borås, Borås, Sweden.
    Kogej, Thierry
    Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Engkvist, Ola
    Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Carlsson, Lars
    Discovery Sciences, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Linusson, Henrik
    Department of Information Technology, University of Borås, Borås, Sweden.
    Johansson, Ulf
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
    Toccaceli, Paolo
    Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, United Kingdom.
    Ahlberg, Ernst
    Data Science and AI, Drug Safety & Metabolism, AstraZeneca IMED Biotech Unit, Mölndal, Sweden.
    Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors2019Ingår i: Journal of Chemical Information and Modeling, ISSN 1549-9596, E-ISSN 1549-960X, Vol. 59, nr 3, s. 1230-1237Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Iterative screening has emerged as a promising approach to increase the efficiency of high-throughput screening (HTS) campaigns in drug discovery. By learning from a subset of the compound library, inferences on what compounds to screen next can be made by predictive models. One of the challenges of iterative screening is to decide how many iterations to perform. This is mainly related to difficulties in estimating the prospective hit rate in any given iteration. In this article, a novel method based on Venn - ABERS predictors is proposed. The method provides accurate estimates of the number of hits retrieved in any given iteration during an HTS campaign. The estimates provide the necessary information to support the decision on the number of iterations needed to maximize the screening outcome. Thus, this method offers a prospective screening strategy for early-stage drug discovery.

  • 46.
    Cardoso, Jorge
    et al.
    SAP Research Dresden.
    van der Aalst, Wil
    Eindhoven University of Technology.
    Bussler, Christoph
    Merced Systems.
    Sheth, Amit
    Wright State University.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsområde Informationsteknik.
    Inter-enterprise System and Application Integration: A Reality Check2008Ingår i: Enterprise Information Systems: 9th ICEIS 2007, Revised Selected Papers, Heidelberg: Springer , 2008, s. 3-15Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    This paper structures the summary of the panel held at the 9th International Conference on Enterprise Information Systems, Funchal, Madeira, 12-16 June 2007 that addressed the following question: "Are you still working on Inter-Enterprise Systems and Application Integration?" The panel aggregated distinguished experts from the areas of process management, workflow, Web services, SOA, and Semantic Web.

  • 47.
    Carlbom, Carolina
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik.
    Använda metoder från Progressive Web Application för att lösa specifika problem i en webapplikation2019Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [sv]

    Tekniken blir en allt större del av vår vardag och vi förväntar oss att våraarbetsredskap ska fungera på samma sätt som applikationerna på våra privata enhetergör. Qpick är en lagerhanteringsmjukvara i form av en webapplikation som användspå handdatorer med operativsystem Android samt truckdatorer med operativsystemetWindows. Syftet med detta examensarbete är att bepröva välkända tekniska lösningarför att lösa specifika problem i en webapplikation.Studien är en fallstudie med inriktning på programmet Qpick, för att besvara studienstvå forskningsfrågor har två Qpick-användare intervjuats och observerats under ettarbetspass. Vidare har Qpicks produktägare samt en Qpick.tekniker intervjuats.Applikationen granskades och genomgick prestandatester både före och efterimplementation av tekniska lösningar.Resultatet visade att implementera en service worker är en lösning för att hanterabristande internetåtkomst, cachning av resurser är en lösning för att minska tryck påwebservern samt göra applikationen snabbare och mer responsiv. AJAX är en lösningför att hålla applikationen uppdaterad utan att behöva uppdatera hela sidans innehåll,och inte skicka och ta emot mer innehåll än det som faktiskt är nödvändigt.localStorage är en lösning för att lagra data i webbläsaren.

  • 48.
    Carlsson, Lars
    et al.
    Drug Safety and Metabolism, AstraZeneca Innovative Medicines and Early Development, Mölndal, Sweden.
    Ahlberg, Ernst
    Drug Safety and Metabolism, AstraZeneca Innovative Medicines and Early Development, Mölndal, Sweden.
    Boström, Henrik
    Department of Systems and Computer Sciences, Stockholm University, Stockholm, Sweden.
    Johansson, Ulf
    School of Business and IT, University of Borås, Borås, Sweden.
    Linusson, Henrik
    School of Business and IT, University of Borås, Borås, Sweden.
    Modifications to p-Values of conformal predictors2015Ingår i: Statistical learning and data sciences, Springer, 2015, s. 251-259Konferensbidrag (Refereegranskat)
    Abstract [en]

    The original definition of a p-value in a conformal predictor can sometimes lead to too conservative prediction regions when the number of training or calibration examples is small. The situation can be improved by using a modification to define an approximate p-value. Two modified p-values are presented that converges to the original p-value as the number of training or calibration examples goes to infinity. Numerical experiments empirically support the use of a p-value we call the interpolated p-value for conformal prediction. The interpolated p-value seems to be producing prediction sets that have an error rate which corresponds well to the prescribed significance level.

  • 49.
    Chemnitz, Chris
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Borg, Carl
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Elgquist, Oscar
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    VMI: A study of benefits with a VMI system2006Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats
    Abstract [sv]

    I dagens hårda verklighet så måste varje organisation koncentrera sig mer och mer på sin kärnkompetens, om det ska vara med ute och slåss på den allt hårdare marknaden. Ett sätt att göra detta är att börja använda sig av ett Vendor Managed Inventory (VMI) system. Ett VMI system med hjälp av Electronic Data Interchange (EDI) styr informations- och materialflödet mellan organisationen och dess leverantörer automatiskt. Detta betyder att leverantören får rätt information om sin kunds behov, och kan därmed planera tids- och kvantitetskorrekta leveranser till sin kund. Denna leverans görs automatiskt genom informationsdelningen så som lager nivåer, försäljningssiffror osv. överförs från distributören till leverantören. Vi har i denna kandidatuppsats koncentrerat oss på att undersöka om de positiva fördelarna som står i litteratur verkligen stämmer överens med upplevda fördelar som olika organisationer har uppmärksammat vid användningen av VMI. Frågan som styrt denna uppsats är följande;

    • Stämmer de fördelar som står i litteraturen överens med de upplevda fördelar som organisationer har märkt?

    För att få svar på vår fråga har vi använt oss av att intervjua två butikschefer om sina respektive företag. En intervju utfördes på en affär inom detaljhandeln och den andra utfördes i en matvarubutik Intervjuerna användes för att få en djupare förståelse om vad de intervjuade tyckte om användandet av VMI, samt för att försöka förstå hur fördelarna av VMI har varit till fördel för deras företag. Efter att ha analyserat och jämfört de fördelar som vi fann i litteraturen med de upplevda fördelar funna hos de intervjuade organisationerna analyserade vi dem. Analysen visade att de fördelar som finns i litteraturen överensstämde med de upplevda fördelar som organisationerna har uppmärksammat. Vi kategoriserade fördelarna i tre skilda kategorier; kostnader, service och lager. Detta gjordes i tron på att det skulle underlätta för läsarna att lättare kunna skapa sig en överblick över vilka fördelar som fanns och för vilka område dessa fördelat påverkar. Många av de funna fördelarna kan dock påverka mer än ett område, det kan också skapas kedjereaktioner på vissa fördelar, fördelar föder nya fördelar.

    Likheterna mellan de insamlade fördelarna från litteraturen jämfört med de insamlade fördelarna från intervjuerna är slående, vi kan härmed säkerställa att de upplevda fördelarna från intervjuerna mycket väl överensstämmer med de fördelar som vi fann i litteraturen.

  • 50.
    Coppens, Sam
    et al.
    Ghent University.
    Hammar, KarlHögskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Informationsteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).Knuth, MagnusUniversity of Potsdam.Neumann, MarcoKONA LLC, New York, USA.Ritze, DominiqueUniversity of Mannheim.Sack, HaraldUniversity of Potsdam.Vander Sande, MielGhent University.
    WaSABi 2013: Semantic Web Enterprise Adoption and Best Practice: Proceedings of the Workshop on Semantic Web Enterprise Adoption and Best Practice Co-located with 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 22, 20132013Proceedings (redaktörskap) (Refereegranskat)
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