Presentation 2016-11-04
Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik, Banage Thenne Gedara Samantha Kumara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Web service clustering is playing a major role in the efficient Web service discovery andrecommendation. Clustering is depending on grouping similar Web services by calculating similarity values. Inthis paper, we propose a Web service clustering method through calculating semantic similarity of Web servicesusing a novel ontology learning method. New ontology generation is based on the specific terms rather thangeneral terms. Specific terms are taking a main part when classifying the domain information than generalterms. New ontology filters are introduced for similarity calculation. Information-retrieval based methods usedto manage failure situation of ontology based similarity calculation. Experimental results show the effectivenessof clustering process comparing with existing approaches.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Term Specificity / Ontology Learning / Similarity Calculation / Information Retrieval / Web Service Clustering
Paper # SC2016-21
Date of Issue 2016-10-28 (SC)

Conference Information
Committee SC
Conference Date 2016/11/4(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Takigawa Memorial Hall, Kobe Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Analysis and Synthesis of Service Design, etc.
Chair Incheon Paik(Univ. of Aizu)
Vice Chair Masahide Nakamura(Kobe Univ.)
Secretary Masahide Nakamura(NICT)

Paper Information
Registration To Technical Committee on Service Computing
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method
Sub Title (in English)
Keyword(1) Term Specificity
Keyword(2) Ontology Learning
Keyword(3) Similarity Calculation
Keyword(4) Information Retrieval
Keyword(5) Web Service Clustering
1st Author's Name Rupasingha Arachchilage Hiruni Madhusha Rupasingha
1st Author's Affiliation University of Aizu(UOA)
2nd Author's Name Incheon Paik
2nd Author's Affiliation University of Aizu(UOA)
3rd Author's Name Banage Thenne Gedara Samantha Kumara
3rd Author's Affiliation Sabaragamuwa University of Sri Lanka(SUSL)
Date 2016-11-04
Paper # SC2016-21
Volume (vol) vol.116
Number (no) SC-287
Page pp.pp.13-18(SC),
#Pages 6
Date of Issue 2016-10-28 (SC)