Determining Automatically the Size of Learned Ontologies
Elias Zavitsanos, Sergios Petridis, Γεώργιος Παλιούρας, George A. Vouros · Frontiers in artificial intelligence and applications · 2008
Determining the size of an ontology that is automatically learned from texts is an open issue. In this paper, we study the similarity between ontology concepts at different levels of a taxonomy, quantifying in a natural manner the quality of the ontology attained. Our approach is integrated in a method for language-neutral learning of ontologies from texts, which relies on conditional independence tests over thematic topics that are discovered using LDA.