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| Presentation | 2016-11-04 11:30 Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UOA), Banage Thenne Gedara Samantha Kumara (SUSL)  SC2016-21 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Web service clustering is playing a major role in the efficient Web service discovery and recommendation. Clustering is depending on grouping similar Web services by calculating similarity values. In this paper, we propose a Web service clustering method through calculating semantic similarity of Web services using a novel ontology learning method. New ontology generation is based on the specific terms rather than general terms. Specific terms are taking a main part when classifying the domain information than general terms. New ontology filters are introduced for similarity calculation. Information-retrieval based methods used to manage failure situation of ontology based similarity calculation. Experimental results show the effectiveness of clustering process comparing with existing approaches. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Term Specificity / Ontology Learning / Similarity Calculation / Information Retrieval / Web Service Clustering / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 287, SC2016-21, pp. 13-18, Nov. 2016. | |
| Paper # | SC2016-21 | |
| Date of Issue | 2016-10-28 (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 | SC2016-21 |
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| Conference Information | |
| Committee | SC |
| Conference Date | 2016-11-04 - 2016-11-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Takigawa Memorial Hall, Kobe Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Analysis and Synthesis of Service Design, etc. |
| Paper Information | |
| Registration To | SC |
| Conference Code | 2016-11-SC |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method |
| Sub Title (in English) | |
| Keyword(1) | Term Specificity |
| Keyword(2) | Ontology Learning |
| Keyword(3) | Similarity Calculation |
| Keyword(4) | Information Retrieval |
| Keyword(5) | Web Service Clustering |
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| Keyword(8) | |
| 1st Author's Name | Rupasingha Arachchilage Hiruni Madhusha Rupasingha |
| 1st Author's Affiliation | University of Aizu (UOA) |
| 2nd Author's Name | Incheon Paik |
| 2nd Author's Affiliation | University of Aizu (UOA) |
| 3rd Author's Name | Banage Thenne Gedara Samantha Kumara |
| 3rd Author's Affiliation | Sabaragamuwa University of Sri Lanka (SUSL) |
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| Speaker | Author-1 |
| Date Time | 2016-11-04 11:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SC |
| Paper # | SC2016-21 |
| Volume (vol) | vol.116 |
| Number (no) | no.287 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2016-10-28 (SC) |
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