Finding similarity relations in presence of taxonomic relations in ontology learning systems

Authors

A. R. Vazifedoost, University of Tehran, Iran
Farhad Oroumchian, University of Wollongong in DubaiFollow
M. Rahgozar, University of Tehran

RIS ID

23507

Publication Details

Vazifedoost, AR, Oroumchian, F and Rahgozar, M, Finding similarity relations in presence of taxonomic relations in ontology learning systems, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007), Honolulu, Hawaii, 1-5 April 2007. Copyright Institute of Electrical and Electronic Engineers 2007. Original conference paper available here

Abstract

Ontology learning tries to find ontological relations, by an automatic process. Similarity relationships are one of non-taxonomic relations which may be included in ontology. Our idea is that in presence of taxonomic relations we are able to extract more useful non-taxonomic similarity relations. In this paper we investigate the specifications of an implemented system for extracting these relations by means of new context extraction method which uses taxonomic relations.