DocumentCode :
2357880
Title :
OS_RANK: Structure Analysis for Ontology Ranking
Author :
Yu, Wei ; Li, Qing ; Chen, Junpeng ; Cao, Jiaheng
Author_Institution :
Wuhan Univ., Wuhan
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
339
Lastpage :
346
Abstract :
Ontologies have been shown to be beneficial for representing domain knowledge, and are quickly becoming the backbone of the semantic Web. Vie need for ontology ranking techniques is crucial as the ontology reuse becomes increasingly important. In this paper, a new approach has been proposed for ranking ontologies on the Semantic Web. In particular, query terms provided by users are regarded as containing special information about domain knowledge of interest. Each ontology candidates are analyzed separately and ranked with respect to the structure and semantics. Experiments are performed and the results show that our method is cost-effective.
Keywords :
ontologies (artificial intelligence); semantic Web; OS_RANK; ontology ranking; ontology reuse; semantic Web; Computer science; Formal specifications; Information analysis; Libraries; Ontologies; Performance analysis; Search engines; Semantic Web; Spine; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-0832-0
Electronic_ISBN :
978-1-4244-0832-0
Type :
conf
DOI :
10.1109/ICDEW.2007.4401014
Filename :
4401014
Link To Document :
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