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A Session-based Approach for Aligning Large Ontologies
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)
2013 (English)In: The Semantic Web: Semantics and Big Data: 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013. Proceedings / [ed] Philipp Cimiano, Oscar Corcho, Valentina Presutti, Laura Hollink, Sebastian Rudolph., Springer Berlin/Heidelberg, 2013, 46-60 p.Chapter in book (Refereed)
Abstract [en]

There are a number of challenges that need to be addressed when aligning large ontologies. Previous work has pointed out scalability and efficiency of matching techniques, matching with background knowledge, support for matcher selection, combination and tuning, and user involvement as major requirements. In this paper we address these challenges. Our first contribution is an ontology alignment framework that enables solutions to each of the challenges. This is achieved by introducing different kinds of interruptable sessions. The framework allows partial computations for generating mapping suggestions, partial validations of mappings suggestions and use of validation decisions in (re)computation of mapping suggestions and the recommendation of alignment strategies to use. Further, we describe an implemented system providing solutions to each of the challenges and show through experiments the advantages of the session-based approach.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 46-60 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7882
Keyword [en]
Computer science, Database management, Information storage and retrieval systems, Artificial intelligence, Artificial Intelligence
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-93645DOI: 10.1007/978-3-642-38288-8_4ISBN: 978-3-642-38287-1 (print)ISBN: 978-3-642-38288-8 (print)OAI: oai:DiVA.org:liu-93645DiVA: diva2:625358
Funder
Swedish e‐Science Research Center
Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2016-08-19Bibliographically approved

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Lambrix, Patrick

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CiteExportLink to record
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Citation style
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  • harvard1
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  • Other style
More styles
Language
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