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User validation in ontology alignment
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
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
Gulbenkian Science Institute, Oeiras, Portugal.
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2016 (English)In: The Semantic Web – ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I / [ed] Paul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Krötzsch, Freddy Lecue, Fabian Flöck and Yolanda Gil, Cham, Switzerland: Springer Publishing Company, 2016, 200-217 p.Chapter in book (Refereed)
Abstract [en]

User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of automated alignment algorithms. In this paper we present a broad study on user validation of ontology alignments that encompasses three distinct but interrelated aspects: the profile of the user, the services of the alignment system, and its user interface. We discuss key issues pertaining to the alignment validation process under each of these aspects, and provide an overview of how current systems address them. Finally, we use experiments from the Interactive Matching track of the Ontology Alignment Evaluation Initiative (OAEI) 2015 to assess the impact of errors in alignment validation, and how systems cope with them as function of their services.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer Publishing Company, 2016. 200-217 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 9981
Keyword [en]
knowledge representation, user interfaces, ontology engineering, ontology alignment
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-131806DOI: 10.1007/978-3-319-46523-4_13ISBN: 9783319465227 (Print)ISBN: 9783319465234 (online)OAI: oai:DiVA.org:liu-131806DiVA: diva2:1033537
Funder
Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)EU, FP7, Seventh Framework Programme, FP7-IP-608142
Available from: 2016-10-07 Created: 2016-10-07 Last updated: 2016-10-28Bibliographically approved

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Dragisic, ZlatanIvanova, ValentinaLambrix, Patrick
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