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Paper Abstract and Keywords
Presentation 2014-01-10 17:05
Context Aware Web Service Similarity and Visualization
Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi (Univ. of Aizu) SC2013-18
Abstract (in Japanese) (See Japanese page) 
(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.
Keyword (in Japanese) (See Japanese page) 
(in English) Web Service Clustering / Context Aware Similarity / ASKS / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 376, SC2013-18, pp. 31-36, Jan. 2014.
Paper # SC2013-18 
Date of Issue 2014-01-03 (SC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SC2013-18

Conference Information
Committee SC  
Conference Date 2014-01-10 - 2014-01-10 
Place (in Japanese) (See Japanese page) 
Place (in English) NII 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of Web Services and Clouds, and etc. 
Paper Information
Registration To SC 
Conference Code 2014-01-SC 
Language English 
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 Similarity  
Keyword(3) ASKS  
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1st Author's Name Banage T. G. S. Kumara  
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)
3rd Author's Name Hiroki Ohashi  
3rd Author's Affiliation University of Aizu (Univ. of Aizu)
4th Author's Name Yuichi Yaguchi  
4th Author's Affiliation University of Aizu (Univ. of Aizu)
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Speaker Author-1 
Date Time 2014-01-10 17:05:00 
Presentation Time 30 minutes 
Registration for SC 
Paper # SC2013-18 
Volume (vol) vol.113 
Number (no) no.376 
Page pp.31-36 
#Pages
Date of Issue 2014-01-03 (SC) 


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