Deriving concept mappings through instance mappings

Balthasar A.C. Schopman, Shenghui Wang, Stefan Schlobach

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

8 Citations (Scopus)


Ontology matching is a promising step towards the solution to the interoperability problem of the Semantic Web. Instance-based methods have the advantage of focusing on the most active parts of the ontologies and reflect concept semantics as they are actually being used. Previous instance-based mapping techniques were only applicable to cases where a substantial set of instances shared by both ontologies. In this paper, we propose to use a lexical search engine to map instances from different ontologies. By exchanging concept classification information between these mapped instances, an artificial set of common instances is built, on which existing instance-based methods can apply. Our experiment results demonstrate the effectiveness and applicability of this method in broad thesaurus mapping context.

Original languageEnglish
Title of host publicationThe Semantic Web - 3rd Asian Semantic Web Conference, ASWC 2008, Proceedings
EditorsJohn Domingue, Chutiporn Anutariya
Number of pages15
ISBN (Electronic)978-3-540-89704-0
Publication statusPublished - 31 Dec 2008
Externally publishedYes
Event3rd Asian Semantic Web Conference, ASWC 2008 - Rama Gardens Hotel, Bangkok, Thailand
Duration: 2 Feb 20092 Feb 2009
Conference number: 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5367 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd Asian Semantic Web Conference, ASWC 2008
Abbreviated titleASWC 2008
Internet address


Dive into the research topics of 'Deriving concept mappings through instance mappings'. Together they form a unique fingerprint.

Cite this