RelExt: A Tool for Relation Extraction from Text in Ontology Extension

Abstract. Domain ontologies very rarely model verbs as relations holding between concepts. However, the role of the verb as a central connecting element between concepts is undeniable. Verbs specify the interaction between the participants of some action or event by expressing relations between them. In parallel, it can be argued from an ontology engineering point of view that verbs express a relation between two classes that specify domain and range. The work described here is concerned with relation extraction for ontology extension along these lines. We describe a system (RelExt) that is capable of automatically identifying highly relevant triples (pairs of concepts connected by a relation) over concepts from an existing ontology. RelExt works by extracting relevant verbs and their grammatical arguments (i.e. terms) from a domain-specific text collection and computing corresponding relations through a combination of linguistic and statistical processing. The paper includes a detail...

• Type: Conference
• Year: 2005
• Where: SEMWEB
• Authors: Alexander Schutz, Paul Buitelaar
• Keywords: Model Verbs, Ontology Engineering Point, SEMWEB 2005, Verbs