NDLI: Design and implementation of semantic Web service clustering algorithm

Content Provider	IEEE Xplore Digital Library
Author	Fa-Gui Liu Chenyi Peng Yuedong Lin
Copyright Year	2013
Description	Author affiliation: Higher Educ. Mega Center, South China Univ. of Technol., Guangzhou, China (Fa-Gui Liu; Chenyi Peng; Yuedong Lin)
Abstract	With the development of semantic Web service, the service registry has expanded constantly to cater for new demands. How to improve the efficiency of service discovery is treated as one of the top priorities to be solved. Semantic Web service clustering can organizes and manages the service registry to narrow the scope of service search. This paper has proposed a framework of semantic Web service clustering, designed and implemented an algorithm of semantic Web service clustering by using the Single-Linkage Thinking. This algorithm clusters the services of service registry in order to narrow the scope of service search and improve the efficiency of service discovery. Experimental results show that the clustering framework and algorithm in this paper is efficient, accurate and easy to implement.
Starting Page	1747
Ending Page	1751
File Size	343683
Page Count	5
File Format	PDF
ISBN	9781479902606
DOI	10.1109/ICMLC.2013.6890880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts Semantics Clustering algorithms Algorithm design and analysis OWL Silicon The Single-Linkage Thinking Semantic Web service Semantic Web service clustering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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