Exploiting Relation Extraction for Ontology Alignment

  • Elena Beisswanger
Conference paper

DOI: 10.1007/978-3-642-17749-1_19

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6497)
Cite this paper as:
Beisswanger E. (2010) Exploiting Relation Extraction for Ontology Alignment. In: Patel-Schneider P.F. et al. (eds) The Semantic Web – ISWC 2010. ISWC 2010. Lecture Notes in Computer Science, vol 6497. Springer, Berlin, Heidelberg

Abstract

When multiple ontologies are used within one application system, aligning the ontologies is a prerequisite for interoperability and unhampered semantic navigation and search. Various methods have been proposed to compute mappings between elements from different ontologies, the majority of which being based on various kinds of similarity measures. As a major shortcoming of these methods it is difficult to decode the semantics of the results achieved. In addition, in many cases they miss important mappings due to poorly developed ontology structures or dissimilar ontology designs. I propose a complementary approach making massive use of relation extraction techniques applied to broad-coverage text corpora. This approach is able to detect different types of semantic relations, dependent on the extraction techniques used. Furthermore, exploiting external background knowledge, it can detect relations even without clear evidence in the input ontologies themselves.

Keywords

Ontology Alignment Relation Extraction Wikipedia 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Elena Beisswanger
    • 1
  1. 1.Jena University Language and Information Engineering (JULIE) LabFriedrich-Schiller-Universität JenaJenaGermany

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