Change search
Refine search result
1 - 36 of 36
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    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.

  • 2.
    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.

  • 3.
    Blomqvist, Eva
    et al.
    Linköping University, Department of Computer and Information Science; STLab, ISTC-CNR.
    Gangemi, AldoSTLab, ISTC-CNR.Hammar, KarlJönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).Suárez-Figueroa, Mari CarmenOntology Engineering Group, Universidad Politécnica de Madrid.
    WOP 2012: Proceedings of the 3rd Workshop on Ontology Patterns2012Conference proceedings (editor) (Refereed)
  • 4.
    Blomqvist, Eva
    et al.
    Linköping University, Linköping, Sweden.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Presutti, Valentina
    ISTC-CNR, Rome, Italy.
    Engineering Ontologies with Patterns - The eXtreme Design Methodology2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 23-50Chapter in book (Refereed)
    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.

  • 5.
    Coppens, Sam
    et al.
    Ghent University.
    Hammar, KarlJönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).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, 20132013Conference proceedings (editor) (Refereed)
  • 6.
    Dórea, Fernanda C.
    et al.
    Department of Disease Control and Epidemiology, National Veterinary Institute, Sweden.
    Vial, Flavie
    Epi-Connect, Skogås, Sweden.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Department of Computer and Information Science, Linköping University, Sweden.
    Lindberg, Ann
    Department of Disease Control and Epidemiology, National Veterinary Institute, Sweden.
    Lambrix, Patrick
    Department of Computer and Information Science, Linköping University, Sweden.
    Blomqvist, Eva
    Department of Computer and Information Science, Linköping University, Sweden.
    Revie, Crawford W.
    Atlantic Veterinary College, University of Prince Edward Island, Canada.
    Drivers for the development of an Animal Health Surveillance Ontology (AHSO)2019In: Preventive Veterinary Medicine, ISSN 0167-5877, E-ISSN 1873-1716, Vol. 166, p. 39-48Article in journal (Refereed)
    Abstract [en]

    Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different sources. Discussions with syndromic surveillance experts in the fields of animal and public health, as well as computer scientists from the field of information management, have led to the conclusion that a major component of any solution will involve the adoption of ontologies. Here we describe the advantages of such an approach, and the steps taken to set up the Animal Health Surveillance Ontological (AHSO) framework. The AHSO framework is modelled in OWL, the W3C standard Semantic Web language for representing rich and complex knowledge. We illustrate how the framework can incorporate knowledge directly from domain experts or from data-driven sources, as well as by integrating existing mature ontological components from related disciplines. The development and extent of AHSO will be community driven and the final products in the framework will be open-access.

  • 7.
    Gangemi, Aldo
    et al.
    Université Paris 13.
    Gruninger, MichaelUniversity of Toronto.Hammar, KarlJönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).Lefort, LaurentCSIRO ICT Centre.Presutti, ValentinaSTLab (ISTC-CNR).Scherp, AnsgarUniversity of Mannheim.
    Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns2014Conference proceedings (editor) (Refereed)
  • 8.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Linköpings universitet, Interaktiva och kognitiva system.
    Content Ontology Design Patterns: Qualities, Methods, and Tools2017Doctoral thesis, monograph (Other academic)
    Abstract [en]

    Ontologies are formal knowledge models that describe concepts and relationships and enable data integration, information search, and reasoning. Ontology Design Patterns (ODPs) are reusable solutions intended to simplify ontology development and support the use of semantic technologies by ontology engineers. ODPs document and package good modelling practices for reuse, ideally enabling inexperienced ontologists to construct high-quality ontologies. Although ODPs are already used for development, there are still remaining challenges that have not been addressed in the literature. These research gaps include a lack of knowledge about (1) which ODP features are important for ontology engineering, (2) less experienced developers' preferences and barriers for employing ODP tooling, and (3) the suitability of the eXtreme Design (XD) ODP usage methodology in non-academic contexts.

    This dissertation aims to close these gaps by combining quantitative and qualitative methods, primarily based on five ontology engineering projects involving inexperienced ontologists. A series of ontology engineering workshops and surveys provided data about developer preferences regarding ODP features, ODP usage methodology, and ODP tooling needs. Other data sources are ontologies and ODPs published on the web, which have been studied in detail. To evaluate tooling improvements, experimental approaches provide data from comparison of new tools and techniques against established alternatives.

    The analysis of the gathered data resulted in a set of measurable quality indicators that cover aspects of ODP documentation, formal representation or axiomatisation, and usage by ontologists. These indicators highlight quality trade-offs: for instance, between ODP Learnability and Reusability, or between Functional Suitability and Performance Efficiency. Furthermore, the results demonstrate a need for ODP tools that support three novel property specialisation strategies, and highlight the preference of inexperienced developers for template-based ODP instantiation---neither of which are supported in prior tooling. The studies also resulted in improvements to ODP search engines based on ODP-specific attributes. Finally, the analysis shows that XD should include guidance for the developer roles and responsibilities in ontology engineering projects, suggestions on how to reuse existing ontology resources, and approaches for adapting XD to project-specific contexts.

  • 9.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    DC Proposal: Towards an ODP Quality Model2011In: The Semantic Web – ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part II / [ed] Lora Aroyo, Chris Welty, Harith Alani, Jamie Taylor, Abraham Bernstein, Lalana Kagal, Natasha Noy and Eva Blomqvist, Berlin: Springer , 2011, p. 277-284Conference paper (Refereed)
    Abstract [en]

    The study of ontology design patterns (ODPs) is a fairly recent development. Such patterns simplify ontology development by codifying and reusing known best practices, thus lowering the barrier to entry of ontology engineering. However, while ODPs appear to be a promising addition to research and while such patterns are being presented and used, work on patterns as artifacts of their own, i.e. methods of developing, identifying and evaluating them, is still uncommon. Consequently, little is known about what ODP features or characteristics are beneficial or harmful in different ontology engineering situations. The presented PhD project aims to remedy this by studying ODP quality characteris- tics and what impact these characteristics have on the usability of ODPs themselves and on the suitability of the resulting ontologies.

  • 10.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    How to Document Ontology Design Patterns: Supporting Data Part 22016Data set
    Abstract [en]

    Survey data presented and discussed in the paper 'How to Document Ontology Design Patterns' presented at the Workshop on Ontology and Semantic Web Patterns in conjunction with the International Semantic Web Conference 2016.

  • 11.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Modular Semantic CEP for Threat Detection2012In: Operations Research and Data Mining ORADM 2012 workshop proceedings / [ed] Luis Villa-Vargas, Leonid Sheremetov, and Hans-Dietrich Haasis, Mexico City: National Polytechnic Institute , 2012Conference paper (Refereed)
    Abstract [en]

    This paper introduces a generic architecture for semantic complex event processing (CEP) over sensor data, as exemplified by a reference implementation system in development for the security and surveillance domain. The system gathers data from a number of sensor subsystems and classifies this data according to ontology-based situation models and rules. The output of the system is alerts about threat situations that supports human operators in deciding when and how to deploy security personnel to manage these threats. The novelty of the proposed approach lies in the use of modular ontology design patterns for system configuration, which enable non-technical users to rapidly configure the system for particular scenarios.

  • 12.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Motivating and Evaluating Template-Based Content ODP Instantiation: Evaluation Dataset for WOP 2016 Submission2016Data set
  • 13.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Ontology Design Pattern Property Specialisation Strategies2014In: Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014. Proceedings / [ed] Krzysztof Janowicz, Stefan Schlobach, Patrick Lambrix, Eero Hyvönen, Berlin: Springer Berlin/Heidelberg, 2014, p. 165-180Conference paper (Refereed)
    Abstract [en]

    Ontology Design Patterns (ODPs) show potential in enabling simpler, faster, and more correct Ontology Engineering by laymen and experts. For ODP adoption to take off, improved tool support for ODP use in Ontology Engineering is required. This paper studies and evaluates the effects of strategies for object property specialisation in ODPs, and suggests tool improvements based on those strategies. Results indicate the existence of three previously unstudied strategies for ODP specialisation, the uses of which affect reasoning performance and integration complexity of resulting ontologies.

  • 14.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Ontology Design Patterns: Adoption Challenges and Solutions2014In: Joint Proceedings of the Second International Workshop on Semantic Web Enterprise Adoption and Best Practice and Second International Workshop on Finance and Economics on the Semantic Web, EUR-WS , 2014, p. 23-32Conference paper (Refereed)
    Abstract [en]

    Ontology Design Patterns (ODPs) are intended to guide non-experts in performing ontology engineering tasks successfully. While being the topic of significant research efforts, the uptake of these ideas outside the academic community is limited. This paper summarises some issues preventing broader adoption of Ontology Design Patterns among practitioners, suggests research directions that may help overcome these issues, and presents early results of work in these directions.

  • 15.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Ontology Design Patterns: Improving Findability and Composition2014In: The Semantic Web: ESWC 2014 Satellite Events: ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers / [ed] Valentina Presutti, Eva Blomqvist, Raphael Troncy, Harald Sack, Ioannis Papadakis, Anna Tordai, Berlin: Springer Berlin/Heidelberg, 2014, p. 3-13Conference paper (Refereed)
    Abstract [en]

    Ontology Design Patterns (ODPs) are intended to guide non-experts in performing ontology engineering tasks successfully. While being the topic of significant research efforts, the uptake of these ideas outside the academic community is limited. This paper summarises issues preventing broader adoption of Ontology Design Patterns among practitioners, with an emphasis on finding and composing such patterns, and presents early results of work aiming to overcome these issues.

  • 16.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Ontology Design Patterns in Use: Lessons Learnt from an Ontology Engineering Case2012In: Proceedings of the 3rd Workshop on Ontology Patterns, 2012Conference paper (Refereed)
    Abstract [en]

    Ontology Design Patterns show promise in enabling simpler, faster, more correct Ontology Engineering by laymen and experts alike. Evaluation of such patterns has typically been performed in experiments set up with artificial scenarios and measured by quantitative metrics and surveys. This paper presents an observational case study of content pattern usage in configuration of an event processing system. Results indicate that while structural characteristics of patterns are of some importance, greater emphasis needs to be put on pattern metadata and the development of pattern catalogue features.

  • 17.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Ontology Design Patterns in WebProtégé2015In: Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), Betlehem, USA, October 11, 2015 / [ed] Serena Villata, Jeff Z. Pan, Mauro Dragoni, CEUR-WS , 2015Conference paper (Refereed)
    Abstract [en]

    The use of Ontology Design Patterns (ODPs) in ontology engineering has been shown to have beneficial effects on the quality of developed ontologies, and promises increased interoperability of those same ontologies. Unfortunately, the lack of user-friendly integrated ODP tooling has prevented the adoption of pattern use. This paper demonstrates an extension to the WebProt´eg´e ontology engineering environment supporting the finding, specialisation, and integration of ODPs. The extension combines existing approaches with new developments in ODP search, specialisation strategies, and alignment.

  • 18.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Linkoping University.
    Quality of Content Ontology Design Patterns2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 51-71Chapter in book (Refereed)
  • 19.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Reasoning Performance Indicators for Ontology Design Patterns2014In: Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns, CEUR-WS , 2014Conference paper (Refereed)
    Abstract [en]

    Ontologies are increasingly used in systems where performance is an important requirement. While there is a lot of work on reasoning performance-altering structures in ontologies, how these structures appear in Ontology Design Patterns (ODPs) is as of yet relatively unknown. This paper surveys existing literature on performance indicators in ontologies applicable to ODPs, and studies how those indicators are expressed in patterns published on two well known ODP portals. Based on this, it proposes recommendations and design principles for the development of new ODPs.

  • 20.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    The State of Ontology Pattern Research2011In: Perspectives in Business Informatics Research: Associated Workshops and Doctoral Consortium / [ed] Laila Niedrite, Renate Strazdina, Benkt Wangler, Riga, Latvia: Riga Technical University , 2011, p. 29-37Conference paper (Refereed)
    Abstract [en]

    Semantic web ontologies have several advantages over other knowledge representation formats that make them appropriate for information logistics architectures and applications. However, the construction of ontologies is still time-consuming and error prone for practitioners. One recent development that aims to remedy this situation is the introduction of ontology design patterns, codifying best practices and promoting reuse. This paper presents a literature survey into the state of research on ontology patterns, and suggests the use of such patterns for modeling information demand and distribution.

  • 21.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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 an Ontology Design Pattern Quality Model2013Licentiate thesis, monograph (Other academic)
    Abstract [en]

    The use of semantic technologies and Semantic Web ontologies in particular have enabled many recent developments in information integration, search engines, and reasoning over formalised knowledge. Ontology Design Patterns have been proposed to be useful in simplifying the development of Semantic Web ontologies by codifying and reusing modelling best practices.

    This thesis investigates the quality of Ontology Design Patterns. The main contribution of the thesis is a theoretically grounded and partially empirically evaluated quality model for such patterns including a set of quality characteristics, indicators, measurement methods and recommendations. The quality model is based on established theory on information system quality, conceptual model quality, and ontology evaluation. It has been tested in a case study setting and in two experiments.

    The main findings of this thesis are that the quality of Ontology Design Patterns can be identified, formalised and measured, and furthermore, that these qualities interact in such a way that ontology engineers using patterns need to make tradeoffs regarding which qualities they wish to prioritise. The developed model may aid them in making these choices.

    This work has been supported by Jönköing University.

  • 22.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH. Research area Computer Science and Informatics. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Blomqvist, Eva
    Linköping University.
    Carral, David
    Wright State University.
    Van Erp, Marieke
    Vrije Universiteit Amsterdam.
    Fokkens, Antske
    Vrije Universiteit Amsterdam.
    Gangemi, Aldo
    CNR-ISTC.
    Van Hage, Willem Robert
    Vrije Universiteit Amsterdam.
    Hitzler, Pascal
    Wright State University.
    Janowicz, Krzysztof
    University of California, Santa Barbara.
    Karima, Nazifa
    Wright State University.
    Krisnadhi, Adila
    Wright State University.
    Narock, Tom
    Marymount University.
    Segers, Roxane
    Vrije Universiteit Amsterdam.
    Solanki, Monika
    University of Oxford.
    Svatek, Vojtech
    University of Economics, Prague.
    Collected Research Questions Concerning Ontology Design Patterns2016In: Ontology Engineering with Ontology Design Patterns / [ed] Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti, IOS Press, 2016, p. 189-198Chapter in book (Refereed)
    Abstract [en]

    This chapter lists and discusses open challenges for the ODP community in the coming years, both in terms of research questions that will need be answered, and in terms of tooling and infrastructure that will need be developed to increase adoption of ODPs in academia and industry. The chapter is organised into three sections: Section 1 focuses on issues pertaining to the patterns themselves, including understanding their features and qualities, and developing pattern languages and standards. Section 2 concerns the evaluation and development of methods for using, constructing, and extracting ODPs. Finally, Section 3 focuses on tooling and infrastructure development, including Ontology Engineering environments that support pattern use, pattern repository development, and sustainability and versioning issues.

  • 23.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    García-Crespo, AngelUniversity Carlos III of Madrid.Gómez Berbís, Juan MiguelUniversity Carlos III of Madrid.Radzimski, MateuszUniversity Carlos III of Madrid.Sánchez Cervantes, José LuisUniversity Carlos III of Madrid.Coppens, SamIBM Research.Knuth, MagnusHasso Plattner Institute, University of Potsdam.Neumann, MarcoKONA LLC.Ritze, DominiqueUniversity of Mannhemim.Vander Sande, MielGhent University.
    WaSABi-FEOSW 2014: Joint Proceedings of WaSABi 2014 and FEOSW 20142014Conference proceedings (editor) (Refereed)
  • 24.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hitzler, PascalWright State University, United States.Krisnadhi, AdilaUniversitas Indonesia, Indonesia.Ławrynowicz, AgnieszkaPoznan University of Technology, Poland.Nuzzolese, Andrea GiovanniISTC-CNR Rome, Italy.Solanki, MonikaUniversity of Oxford, United Kingdom.
    Advances in Ontology Design and Patterns2017Conference proceedings (editor) (Refereed)
    Abstract [en]

    The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing.

    This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.

  • 25.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hitzler, Pascal
    Wright State University, United States.
    Krisnadhi, Adila
    Universitas Indonesia, Indonesia.
    Ławrynowicz, Agnieszka
    Poznan University of Technology, Poland.
    Nuzzolese, Andrea Giovanni
    ISTC-CNR Rome, Italy.
    Solanki, Monika
    University of Oxford, United Kingdom.
    Preface2017In: Advances in Ontology Design and Patterns / [ed] Hammar, K., Hitzler, P., Krisnadhi, A., Ławrynowicz, A., Nuzzolese, A.G. & Solanki, M., IOS Press, 2017, p. v-viConference paper (Other academic)
  • 26.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL). Department of Computer and Information Science, Linköping University, Sweden.
    Presutti, Valentina
    Semantic Technology Lab, ISTC-CNR, Italy.
    Template-Based Content ODP Instantiation2017In: Advances in Ontology Design and Patterns / [ed] Karl Hammar, Pascal Hitzler, Adila Krisnadhi, Agnieszka Ławrynowicz, Andrea Giovanni Nuzzolese, Monika Solanki, IOS Press, 2017, p. 1-13Conference paper (Refereed)
    Abstract [en]

    Content Ontology Design Patterns (CODPs) are typically instantiated into a target ontology or ontology module through a process of specialisation of CODP entities. We find, from experiences in three projects, that this approach leads to ontologies that are unintuitive to some non-expert ontologists. An approach where CODPs are used as templates can be more suitable when constructing ontologies to be used or modified by such users, and we propose a method for such template-based ODP instantiation. We evaluate this method with positive results, and describe a tool that supports the use of the proposed method.

  • 27.
    Hammar, Karl
    et al.
    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).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    The State of Ontology Pattern Research: A Systematic Review of ISWC, ESWC and ASWC 2005–20092010In: Workshop on Ontology Patterns: Papers and Patterns from the ISWC workshop / [ed] Eva Blomqvist, Vinay K. Chaudri,Oscar Corcho, Valentina Presutti, Kurt Sandkuhl, 2010, p. 5-17Conference paper (Refereed)
    Abstract [en]

    While the use of patterns in computer science is well established, research into ontology design patterns is a fairly recent development. We believe that it is important to develop an overview of the state of research in this new field, in order to stake out possibilities for future research and in order to provide an introduction for researchers new to the topic. This paper presents a systematic literature review of all papers published at the three large semantic web conferences and their associated workshops in the last five years. Our findings indicate among other things that a lot of papers in this field are lacking in empirical validation, that ontology design patterns tend to be one of the main focuses of papers that mention them, and that although research on using patterns is being performed, studying patterns as artifacts of their own is less common.

  • 28.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. 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).
    Lin, Feiyu
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Information Reuse and Interoperability with Ontology Patterns and Linked Data: First Experiences from the ExpertFinder Project2010In: Business information system workshops: BIS 2010 International Workshops / [ed] Witold Abramowicz, Robert Tolksdorf, Krzysztof Wecel, Berlin: Springer , 2010, p. 168-179Conference paper (Refereed)
    Abstract [en]

    Semantic web technologies show great promise in usage scenarios that involve information logistics. This paper is an experience report on improving the semantic web ontology underlying an application used in expert finding. We use ontology design patterns to find and correct poor design choices, and align the application ontology to commonly used semantic web ontologies in order to increase the interoperability of the ontology and application. Lessons learned and problems faced are discussed, and possible future developments of the project mapped out.

  • 29.
    Hammar, Karl
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Wallin, Erik Oskar
    Idun Real Estate Solutions AB, Stockholm, Sweden.
    Karlberg, Per
    Idun Real Estate Solutions AB, Stockholm, Sweden.
    Hälleberg, David
    Akademiska Hus AB, Stockholm, Sweden.
    The RealEstateCore Ontology2019In: The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I / [ed] C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, M. Lefrançois & F. Gandon, Cham: Springer, 2019, p. 130-145Conference paper (Refereed)
    Abstract [en]

    Recent developments in data analysis and machine learning support novel data-driven operations optimizations in the real estate industry, enabling new services, improved well-being for tenants, and reduced environmental footprints. The real estate industry is, however, fragmented in terms of systems and data formats. This paper introduces RealEstateCore (REC), an OWL 2 ontology which enables data integration for smart buildings. REC is developed by a consortium including some of the largest real estate companies in northern Europe. It is available under the permissive MIT license, is developed and hosted at GitHub, and is seeing adoption among both its creator companies and other product and service companies in the Nordic real estate market. We present and discuss the ontology’s development drivers and process, its structure, deployments within several companies, and the organization and plan for maintaining and evolving REC in the future.

  • 30.
    Hitzler, P.
    et al.
    Wright State University, Dayton, OH, United States.
    Fernandez, M.
    KMi, The Open University, Milton Keynes, United Kingdom.
    Janowicz, K.
    University of California, Santa Barbara, CA, United States.
    Zaveri, A.
    Maastricht University, Maastricht, Netherlands.
    Gray, A. J. G.
    Heriot-Watt University, Edinburgh, United Kingdom.
    Lopez, V.
    IBM Research, Dublin, Ireland.
    Haller, A.
    The Australian National University, Canberra, ACT, Australia.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Preface2019In: Lecture Notes in Computer Science: Volume 11503, 16th International Semantic Web Conference, ESWC 2019, Portorož, Slovenia, 2 June 2019 through 6 June 2019, Springer, 2019, p. v-viiChapter in book (Other (popular science, discussion, etc.))
  • 31.
    Hitzler, Pascal
    et al.
    Wright State University, Dayton, USA.
    Fernández, MiriamKMi, The Open University, Milton Keynes, UK.Janowicz, KrzysztofUniversity of California, Santa Barbara, USA.Zaveri, AmrapaliMaastricht University, Maastricht, The Netherlands.Gray, Alasdair J.G.Heriot-Watt University, Edinburgh, UK.Lopez, VanessaIBM Research, Dublin, Ireland.Haller, ArminThe Australian National University, Canberra, Australia.Hammar, KarlJönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings2019Conference proceedings (editor) (Refereed)
  • 32. Janowicz, Krzysztof
    et al.
    Krisnadhi, Adila Alfa
    Poveda Villalón, María
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Shimizu, Cogan
    Preface2019In: WOP 2019: Workshop on Ontology Design and Patterns 2019 / [ed] Krzysztof Janowicz, Adila Alfa Krisnadhi, María Poveda Villalón, Karl Hammar, Cogan Shimizu, Krzysztof Janowicz, Adila Alfa Krisnadhi, María Poveda Villalón, Karl Hammar, Cogan Shimizu , 2019, p. 1-1Chapter in book (Other academic)
  • 33. Janowicz, Krzysztof
    et al.
    Krisnadhi, Adila AlfaPoveda Villalón, MaríaHammar, KarlJönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).Shimizu, Cogan
    WOP 2019: Workshop on Ontology Design and Patterns 20192019Conference proceedings (editor) (Refereed)
  • 34.
    Karima, Nazifa
    et al.
    Data Semantics Lab, Wright State University, USA.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Hitzler, Pascal
    Data Semantics Lab, Wright State University, USA.
    How to Document Ontology Design Patterns2017In: Advances in Ontology Design and Patterns / [ed] Karl Hammar, Pascal Hitzler, Adila Krisnadhi, Agnieszka Ławrynowicz, Andrea Giovanni Nuzzolese, Monika Solanki, IOS Press, 2017Conference paper (Refereed)
    Abstract [en]

    Ontology Design Patterns are reusable building blocks for ontology modelling. As such, Ontology Design Patterns need to be understood by the humans who use them for ontology engineering tasks. In order to make it easier for ontology engineers to understand a previously unknown Ontology Design Pattern, the quality of the documentation of the pattern plays a central role. However, the question how to document Ontology Design Patterns effectively has so far largely been neglected in the research literature. In this paper, we investigate the topic systematically. We discuss the results of three separate surveys to determine the central aspects of good documentation for Ontology Design Patterns. We find that the surveys, which were conducted independently of each other, by two separate groups, essentially agree on the importance of key aspects of documentation.

  • 35.
    Shimizu, Cogan
    et al.
    Data Semantics Lab, Wright State University, US.
    Hammar, Karl
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    CoModIDE – The Comprehensive Modular Ontology Engineering IDE2019In: CEUR Workshop Proceedings / [ed] Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, Abraham Bernstein, CEUR-WS , 2019, Vol. 2456Conference paper (Refereed)
  • 36.
    Skjæveland, Martin G.
    et al.
    University of Oslo.
    Hu, YingjieUniversity at Buffalo.Hammar, KarlJönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).Svátek, VojtěchUniversity of Economics, Prague.Ławrynowicz, AgnieszkaPoznan University of Technology .
    WOP 2018: Workshop on Ontology Design and Patterns2018Conference proceedings (editor) (Refereed)
1 - 36 of 36
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf