By Topic

Enhancing Rough Set and Formal Context based Ontology Mapping Method with Attribute Reduction

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

4 Author(s)
Jiuyun Xu ; Sch. of Comput. & Commun. Eng., China Univ. of Pet., Dongying ; Pingli Gu ; Changbao Li ; Youxiang Duan

Ontology mapping is a key technology to resolve interoperability between heterogeneous and distributed ontologies. So far, many efforts have been conducted to suggest ontology mapping model. The RFCA mapping model is one of them. In this paper, the problem of the reduction of formal context in the mapping process of the RFCA model is addressed, and a method using Attribute Reduction to enhance the RFCA ontology mapping method is proposed. With Attribute Reduction, the RFCA method can be adaptable to the large scale of ontology mapping. Our experiment has illustrated that this method is feasible.

Published in:

Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on  (Volume:1 )

Date of Conference:

6-8 Oct. 2008