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| Presentation | 2017-06-03 09:00 Service Discovery on Service Network Constructed by Word Embedding Takeyuki Miyagi, Incheon Paik (Univ. of Aizu)  SC2017-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Service discovery and composition are a challenging issue for service computing when providing value-added services. Existing approaches have limitations for locating realistic service discovery and composition because these approaches are based on isolated services. Accordingly, past research has suggested social linked service network considering relationships of functional and nonfunctional properties. In the existing method of global social service network (GSSN), it is difficult to find functionally related terms in a domain. This research examines a GSSN using word embedding for functionally related terms. A GSSN is a model that interlinks isolated services. To connect these services, associated information is required. Word embedding can more easily and accurately find similar words than past algorithms. By applying this process to services data it is possible to find and connect to similar services more efficiently. The research begins with word embedding and GSSN construction. After this, optimal parameter tuning is carried out. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | service discovery / service composition / word embeddiing / service network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 75, SC2017-9, pp. 47-51, June 2017. | |
| Paper # | SC2017-9 | |
| 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 | SC2017-9 |
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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) | Service Discovery on Service Network Constructed by Word Embedding |
| Sub Title (in English) | |
| Keyword(1) | service discovery |
| Keyword(2) | service composition |
| Keyword(3) | word embeddiing |
| Keyword(4) | service network |
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| 1st Author's Name | Takeyuki Miyagi |
| 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 | 2017-06-03 09:00:00 |
| Presentation Time | 25 minutes |
| Registration for | SC |
| Paper # | SC2017-9 |
| Volume (vol) | vol.117 |
| Number (no) | no.75 |
| Page | pp.47-51 |
| #Pages | 5 |
| Date of Issue | 2017-05-26 (SC) |
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