Title :
Finding Similarity Relations in Presence of Taxonomic Relations in Ontology Learning Systems
Author :
Vazifedoost, A.R. ; Oroumchian, F. ; Rahgozar, M.
Author_Institution :
Sch. of Eng., Tehran Univ.
fDate :
March 1 2007-April 5 2007
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
Keywords :
learning (artificial intelligence); ontologies (artificial intelligence); context extraction; nontaxonomic similarity relation extraction; ontological relations; ontology learning systems; taxonomic relations; Computational intelligence; Data mining; Humans; Information retrieval; Intelligent control; Learning automata; Learning systems; Ontologies; Process control; Terminology;
Conference_Titel :
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0705-2
DOI :
10.1109/CIDM.2007.368875
