Determining termhood for learning domain ontologies using domain prevalence and tendency
Wilson Wong, Wei Liu, Mohammed Bennamoun · UWA Profiles and Research Repository (University of Western Australia) · 2007
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be im-proved upon. We proposed a new mechanism that incorporates both statistical and linguistic evidences for the computation of a final weight defined as Ter-mhood (TH) for ranking term candidates. The anal-ysis of the frequency distributions of the term can-didates during our initial experiments revealed three advantages for higher quality term recognition. 1