Multi-concept alignment and evaluation

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

*Corresponding author for this work

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

2 Citations (Scopus)
2 Downloads (Pure)


In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.

Original languageEnglish
Title of host publicationOM'07 Proceedings of the 2nd International Conference on Ontology Matching
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2nd International Workshop on Ontology Matching, OM-2007 - Busan, Korea, Republic of
Duration: 11 Nov 200711 Nov 2007
Conference number: 2

Publication series

NameCEUR workshop proceedings
PublisherRheinisch Westfälische Technische Hochschule
ISSN (Print)1613-0073


Conference2nd International Workshop on Ontology Matching, OM-2007
Abbreviated titleOM 2007
Country/TerritoryKorea, Republic of
Other Collocated with the 6th International Semantic Web Conference, ISWC-2007
Internet address


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