KOSIMap: Ontology alignments results for OAEI 2009

Quentin Reul*, Jeff Z. Pan

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Ontology mapping has been recognised as an important approach to identifying similar information in heterogeneous ontologies. The Knowledge Organisation System Implicit Mapping (KOSIMap) approach relies on DL reasoning (i) to extract background knowledge about every entity, and (ii) to remove inappropriate correspondences from an alignment. The main assumption is that the use of this background knowledge reduces erroneous mappings, thus increasing coverage. In this paper, we provide an overview of KOSIMap, and present the result of our system for its first participation to the Ontology Alignment Evaluation Initiative (OAEI).

Original languageEnglish
Pages (from-to)177-185
Number of pages9
JournalCEUR Workshop Proceedings
Volume551
Publication statusPublished - 25 Oct 2009
Event4th International Workshop on Ontology Matching, OM-2009 - Collocated with the 8th International Semantic Web Conference, ISWC-2009 - Chantilly, VA, United States
Duration: 25 Oct 200925 Oct 2009

ASJC Scopus subject areas

  • Computer Science(all)

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