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 |
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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) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Service Computing |
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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) |