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A system for aligning taxonomies and debugging taxonomies and their alignments
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. (ADIT)ORCID iD: 0000-0002-9084-0470
2013 (English)In: The Semantic Web: ESWC 2013 Satellite Events, Montpellier, France, May 26-30, 2013, Revised Selected Papers / [ed] Philipp Cimiano, Miriam Fernández, Vanessa Lopez, Stefan Schlobach, Johanna Völker, Springer Berlin/Heidelberg, 2013, 152-156 p.Chapter in book (Refereed)
Abstract [en]

With the increased use of ontologies in semantically-enabled applications,the issues of debugging and aligning ontologies have become increasinglyimportant. The quality of the results of such applications is directly dependent onthe quality of the ontologies and mappings between the ontologies they employ. Akey step towards achieving high quality ontologies and mappings is discoveringand resolving modeling defects, e.g., wrong or missing relations and mappings.In this demonstration paper we present a system for aligning taxonomies, the mostused kind of ontologies, and debugging taxonomies and their alignments, whereontology alignment is treated as a special kind of debugging.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 152-156 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7955
Keyword [en]
Computer science, Computer Communication Networks, Information systems, Database management, Multimedia systems, Artificial intelligence, Computer ScienceInformation Systems and Communication Service, Artificial Intelligence (incl. Robotics), Information Systems Applications (incl.Internet), Computer Communication Networks, Database Management, Multimedia Information Systems
National Category
Computer Science
URN: urn:nbn:se:liu:diva-97581DOI: 10.1007/978-3-642-41242-4_15ISI: 000342797300015ISBN: 978-364-2-13489-0ISBN: 3-642-1-3486-6OAI: diva2:649022
Swedish Research Council, 2010-4759Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)
Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2016-10-05Bibliographically approved

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