Presentation 2014-01-10
Context Aware Web Service Similarity and Visualization
Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi,
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Abstract(in English) Web service similarity calculation is a major challenge in service computing research. There are several methods used in current similarity calculation approaches such as keyword, information retrieval, ontology and hybrid methods. However, these approaches do not consider the context when measuring the similarity. So these approaches failed to capture the semantic of terms, which exist under a certain domain. In this paper, we propose context aware similarity method, which uses search results from search engines and support vector machine. Then, we apply Associated Keyword Space (ASKS) algorithm which is effective for noisy data and projected results from a three-dimensional (3D) sphere to a two dimensional (2D) spherical surface for 2D visualization according to the similarity. Experimental results show our similarity calculation approach has better performance comparing with existing approaches and services are plotted on a sphere by considering their similarity. Further, our approach aids to search Web services by visualization result.
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Keyword(in English) Web service clustering / Context aware service similarity / ASKS
Paper # SC2013-18
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Committee SC
Conference Date 2014/1/3(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Context Aware Web Service Similarity and Visualization
Sub Title (in English)
Keyword(1) Web service clustering
Keyword(2) Context aware service similarity
Keyword(3) ASKS
1st Author's Name Banage T. G. S. Kumara
1st Author's Affiliation School of Computer Science and Engineering University of Aizu()
2nd Author's Name Incheon Paik
2nd Author's Affiliation School of Computer Science and Engineering University of Aizu
3rd Author's Name Hiroki Ohashi
3rd Author's Affiliation School of Computer Science and Engineering University of Aizu
4th Author's Name Yuichi Yaguchi
4th Author's Affiliation School of Computer Science and Engineering University of Aizu
Date 2014-01-10
Paper # SC2013-18
Volume (vol) vol.113
Number (no) 376
Page pp.pp.-
#Pages 6
Date of Issue