DocumentCode
2724518
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.
fYear
2007
fDate
March 1 2007-April 5 2007
Firstpage
215
Lastpage
220
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0705-2
Type
conf
DOI
10.1109/CIDM.2007.368875
Filename
4221299
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