Discovery and evaluation of non-taxonomic relations in domain ontologies. (11th August 2009)

• Record Type: Journal Article
• Authors: Weichselbraun, Albert; Wohlgenannt, Gerhard; Scharl, Arno; Granitzer, Michael; Neidhart, Thomas; Juffinger, Andreas
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 4:Number 3(2009)
• Page Start: 212
• Page End: 222
• Publication Date: 2009-08-11
• Subjects: ontology learning -- ontology extension -- link-type detection -- non-hierarchical relations -- non-taxonomic relations -- vector space modelling -- domain ontologies; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

The identification and labelling of non-hierarchical relations are among the most challenging tasks in ontology learning. This paper describes a bottom-up approach for automatically suggesting ontology link types. The presented method extracts verb-vectors from semantic relations identified in the domain corpus, aggregates them by computing centroids for known relation types, and stores the centroids in a central knowledge base. Comparing verb-vectors extracted from unknown relations with the stored centroids yields link type suggestions. Domain experts evaluate these suggestions, refining the knowledge base and constantly improving the component's accuracy. A final evaluation provides a detailed statistical analysis of the introduced approach.