The Concept Similarity Computation Based on Individual Preferences

Author

Wang, Shuai ; Yuan, Fang ; Zhang, Ming ; Wang, Yu

Author_Institution

Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China

fYear

2009

fDate

18-20 Sept. 2009

Firstpage

93

Lastpage

96

Abstract

How to improve the accuracy of the concept similarity computation is still an issue needed to be studied further. This paper proposes a new approach which combines concept similarity with the users´ individual preference. The personal coefficients trained by artificial neural network are employed to adjust the initial concept similarities to get the actual concept similarities. The experimental results show that the method is effective for the concept similarity computation.

Keywords

neural nets; ontologies (artificial intelligence); artificial neural network; concept similarity computation; individual preferences; initial concept similarities; ontologies; personal coefficients; Application software; Artificial neural networks; Computational modeling; Computer science; Educational institutions; Formal specifications; Information systems; Information theory; Mathematics; Ontologies; concept similarity; individual preferences; neural network; ontology; personal coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems and Applications Conference, 2009. WISA 2009. Sixth

Conference_Location

Xuzhou, Jiangsu

Print_ISBN

978-0-7695-3874-7

Type

conf

DOI

10.1109/WISA.2009.25

Filename

5368122