Discovery and Evaluation of Non-Taxonomic Relations in Domain Ontologies

Albert Weichselbraun, Gerhard Wohlgenannt, Arno Scharl, Michael Granitzer, Thomas Neidhart, Andreas Juffinger

Publication: Scientific journalJournal articlepeer-review


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.
Original languageEnglish
Pages (from-to)212 - 222
JournalInternational Journal of Metadata, Semantics and Ontologies
Issue number3
Publication statusPublished - 2009

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