Learning concept mappings from instance similarity

Shenghui Wang*, Gwenn Englebienne, Stefan Schlobach

*Corresponding author for this work

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

29 Citations (Scopus)


Finding mappings between compatible ontologies is an important but difficult open problem. Instance-based methods for solving this problem have the advantage of focusing on the most active parts of the ontologies and reflect concept semantics as they are actually being used. However such methods have not at present been widely investigated in ontology mapping, compared to linguistic and structural techniques. Furthermore, previous instance-based mapping techniques were only applicable to cases where a substantial set of instances was available that was doubly annotated with both vocabularies. In this paper we approach the mapping problem as a classification problem based on the similarity between instances of concepts. This has the advantage that no doubly annotated instances are required, so that the method can be applied to any two corpora annotated with their own vocabularies. We evaluate the resulting classifiers on two real-world use cases, one with homogeneous and one with heterogeneous instances. The results illustrate the efficiency and generality of this method.

Original languageEnglish
Title of host publicationThe Semantic Web - ISWC 2008
Subtitle of host publication7th International Semantic Web Conference, ISWC 2008, Proceedings
Number of pages17
ISBN (Electronic)978-3-540-88564-1
ISBN (Print)978-3-540-88563-4
Publication statusPublished - 15 Dec 2008
Externally publishedYes
Event7th International Semantic Web Conference, ISWC 2008 - Congress Center, Karlsruhe, Germany
Duration: 26 Oct 200830 Oct 2008
Conference number: 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5318 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Semantic Web Conference, ISWC 2008
Abbreviated titleISWC 2008
Internet address

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