DocumentCode :
2894316
Title :
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
Link To Document :
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