Discovering Knowledge in Texts for the learning of DOGMA-inspired ontologies
Marie-Laure Reinberger, Peter Spyns · 2004
Abstract. Ontologies in current computer science parlance are computer based resources that represent shared conceptualizations for a specific domain. This paper first introduces ontologies in general and subsequently, in particular, shortly outlines the DOGMA ontology leaning approach. The paper also introduces the reader in the field of Knowledge Discovery in Text before, in the main part, work in progress is described and experimentally evaluated. It concerns a potential method to automatically extract concepts and conceptual relationships from texts. Preliminary outcomes are presented based on the clustering of nominal terms and prepositional phrases according to co-occurrence frequencies in the verb-object syntactic context. 1