Determining termhood for learning domain ontologies using domain prevalence and tendency

Authors:
Wilson Wong;Wei Liu;Mohammed Bennamoun
Affiliations:
University of Western Australia, Crawley WA;University of Western Australia, Crawley WA;University of Western Australia, Crawley WA
Venue:
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Year:
2007

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Abstract

In the course of reviewing existing automatic termrecognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed a new mechanism that incorporates both statistical and linguistic evidences for the computation of a final weight defined as Termhood (TH) for ranking term candidates. The analysis of the frequency distributions of the term candidates during our initial experiments revealed three advantages for higher quality term recognition.