2001/09/11 by Aldo Gangemi, Gangemi, Aldo, Nicola Guarino +3
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Natural Language Processing Techniques #Semantic Web and Ontologies #cs.CL #cs.IR
paper · pdf · doi:10.48550/arxiv.cs/0109013
12 pages, 2 figures, 2 tables, submitted to FOIS 2001
arxiv created 2001/09/11 · arxiv updated 2009/11/30
In this paper we propose an analysis and an upgrade of WordNet's top-level synset taxonomy. We briefly review WordNet and identify its main semantic limitations. Some principles from a forthcoming OntoClean methodology are applied to the ontological analysis of WordNet. A revised top-level taxonomy is proposed, which is meant to be more conceptually rigorous, cognitively transparent, and efficiently exploitable in several applications.