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Paper Abstract and Keywords
Presentation 2017-06-02 16:00
Domain Information Measure with Novel Ontology Generation for Web Service Clustering
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (Univ. of Aizu) SC2017-6
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Web services / Web service clustering / Term specificity / Ontology learning / Service similarity / Information retrieval / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 75, SC2017-6, pp. 27-32, June 2017.
Paper # SC2017-6 
Date of Issue 2017-05-26 (SC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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)
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Conference Information
Committee SC  
Conference Date 2017-06-02 - 2017-06-03 
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 
Paper Information
Registration To SC 
Conference Code 2017-06-SC 
Language English 
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)
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Speaker Author-1 
Date Time 2017-06-02 16:00:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # SC2017-6 
Volume (vol) vol.117 
Number (no) no.75 
Page pp.27-32 
Date of Issue 2017-05-26 (SC) 

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