DocumentCode :
3446555
Title :
Research on Web service discovery with semantics and clustering
Author :
Tao Wen ; Guojun Sheng ; Yingqiu Li ; Quan Guo
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume :
1
fYear :
2011
fDate :
20-22 Aug. 2011
Firstpage :
62
Lastpage :
67
Abstract :
In traditional Web service discovery methods, the search results from service registries are inadequate due to the lack of semantic descriptions of the Web services. Moreover, with the heavily increasing amount of Web services, these methods usually cause low efficiency and poor performance. This paper presents a Web service discovery method based on semantics and clustering. The experiment result indicates that the algorithm proposed is more better and efficient than that of full scan search method.
Keywords :
Web services; data mining; pattern clustering; Web service discovery methods; clustering; full scan search method; semantic descriptions; semantics; service registries; Algorithm design and analysis; Clustering algorithms; Filtering algorithms; Ontologies; Semantic Web; Semantics; Web services; K-medoids algorithm; Web service discovery; ontology; semantic Web service; service clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
Type :
conf
DOI :
10.1109/ITAIC.2011.6030151
Filename :
6030151
Link To Document :
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