By Topic

Finding Similarity Relations in Presence of Taxonomic Relations in Ontology Learning Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Vazifedoost, A.R. ; Sch. of Eng., Tehran Univ. ; Oroumchian, F. ; Rahgozar, M.

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

Published in:

Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on

Date of Conference:

March 1 2007-April 5 2007