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| 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 |
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| 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 | |
| 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 | SC2017-6 |
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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 |
| Keyword(7) | |
| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2017-05-26 (SC) |
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