An empirical study of instance-based ontology matching

Antoine Isaac*, Lourens Van Der Meij, Stefan Schlobach, Shenghui Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

77 Citations (Scopus)


Instance-based ontology mapping is a promising family of solutions to a class of ontology alignment problems. It crucially depends on measuring the similarity between sets of annotated instances. In this paper we study how the choice of co-occurrence measures affects the performance of instance-based mapping. To this end, we have implemented a number of different statistical co-occurrence measures. We have prepared an extensive test case using vocabularies of thousands of terms, millions of instances, and hundreds of thousands of co-annotated items. We have obtained a human Gold Standard judgement for part of the mapping-space. We then study how the different co-occurrence measures and a number of algorithmic variations perform on our benchmark dataset as compared against the Gold Standard. Our systematic study shows excellent results of instance-based matching in general, where the more simple measures often outperform more sophisticated statistical co-occurrence measures.

Original languageEnglish
Title of host publicationThe Semantic Web
Subtitle of host publication6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings
EditorsKarl Aberer
Number of pages14
ISBN (Electronic)978-3-540-76298-0
ISBN (Print)978-3-540-76297-3
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event6th International Semantic Web Conference, ISWC 2007 and 2nd Asian Semantic Web Conference, ASWC 2007 - Busan, Korea, Republic of
Duration: 11 Nov 200715 Nov 2007
Conference number: 6

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Semantic Web Conference, ISWC 2007 and 2nd Asian Semantic Web Conference, ASWC 2007
Abbreviated titleISWC 2007
Country/TerritoryKorea, Republic of


  • Information gain
  • Mapping index
  • Ontology mapping
  • Pointwise mutual information
  • Equivalent concept


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