Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning

Ontology learning from texts has recently been proposed as a new technology helping ontology designers in the modelling process. Discovery of non–taxonomic relations is understood as the least tackled problem therein. We propose a technique for extraction of lexical entries that may give cue in assigning semantic labels to otherwise ‘anonymous’ relations. The technique has been implemented as extension to the existing Text-to-Onto tool, and tested on a collection of texts describing worldwide geographic locations from a tour–planning viewpoint.

• Type: Conference
• Year: 2004
• Where: SOFSEM
• Authors: Martin Kavalec, Alexander Maedche, Vojtech Svátek
• Keywords: Ontology Learning, SOFSEM 2004, Tackled Problem, Technology Helping Ontology, Theoretical Computer Science