Presentation 2017-06-02
Domain Information Measure with Novel Ontology Generation for Web Service Clustering
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With the growth of the Internet, considerable web services are increasing rapidly in service communities. By reason of that Web service clustering is become a challenging and time consuming task. In this study, we propose a new domain specificity based ontology generation for Web service clustering. Because the specificity of a term describes the amount of domain-specific information contained in that term and it is a main point to improve the domain ontology. New ontology is generated by comparing term specificity values. Generated ontology is used to similarity calculation through new logic-based filters and an agglomerative clustering algorithm used for the clustering. Finally, through a set of experiments deployed on Web service dataset, we validate the feasibility of our approach by outperforms comparable existing approaches.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web services / Web service clustering / Term specificity / Ontology learning / Service similarity / Information retrieval
Paper # SC2017-6
Date of Issue 2017-05-26 (SC)

Conference Information
Committee SC
Conference Date 2017/6/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) University of Aizu(UBIC 3D)
Topics (in Japanese) (See Japanese page)
Topics (in English) Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues
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) Domain Information Measure with Novel Ontology Generation for Web Service Clustering
Sub Title (in English)
Keyword(1) Web services
Keyword(2) Web service clustering
Keyword(3) Term specificity
Keyword(4) Ontology learning
Keyword(5) Service similarity
Keyword(6) Information retrieval
1st Author's Name Rupasingha Arachchilage Hiruni Madhusha Rupasingha
1st Author's Affiliation University of Aizu(Univ. of Aizu)
2nd Author's Name Incheon Paik
2nd Author's Affiliation University of Aizu(Univ. of Aizu)
Date 2017-06-02
Paper # SC2017-6
Volume (vol) vol.117
Number (no) SC-75
Page pp.pp.27-32(SC),
#Pages 6
Date of Issue 2017-05-26 (SC)