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Ontology Design Pattern Property Specialisation Strategies
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. Research area Information Engineering. (Information Engineering)
2014 (English)In: 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, 165-180 p.Conference paper, Published 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.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2014. 165-180 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8876
Keyword [en]
Ontology design; Ontology engineering; Reasoning performance
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hj:diva-25197DOI: 10.1007/978-3-319-13704-9Scopus ID: 2-s2.0-84914100231ISBN: 978-3-319-13703-2 (print)OAI: oai:DiVA.org:hj-25197DiVA: diva2:767177
Conference
International Conference on Knowledge Engineering and Knowledge Management (EKAW) 2014
Available from: 2014-12-01 Created: 2014-12-01 Last updated: 2015-06-01Bibliographically approved

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