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| Presentation | 2011-11-21 11:30 Machine Learning Approach to Semantic Integration of Transitive Data for Knowledge Utilization Daisuke Morita, Kyoji Iiduka, Takahiko Murayama, Junichi Akahani (NTT)  AI2011-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | There is a growing need for utilizing accumulated organizational data as knowledge. However, identity or inheritance of organizational data tends not to be controlled despite frequent changes of attribute values such as names or IDs by the changes of terms. In this research, we propose the method to determine whether an entity is the same as another entity whose attribute values are altered by changing times. We opt for the approach to such data integration by applying the model derived from supervised learning using surrounding information and its semantics. We show experimentally that our approach is superior to existing data integration methods toward the problem of determining the sameness of transitive data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Semantic Web / Machine Learning / RDF / Semantic Data Integration / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 310, AI2011-20, pp. 19-24, Nov. 2011. | |
| Paper # | AI2011-20 | |
| Date of Issue | 2011-11-14 (AI) | |
| 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 | AI2011-20 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2011-11-21 - 2011-11-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2011-11-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning Approach to Semantic Integration of Transitive Data for Knowledge Utilization |
| Sub Title (in English) | |
| Keyword(1) | Semantic Web |
| Keyword(2) | Machine Learning |
| Keyword(3) | RDF |
| Keyword(4) | Semantic Data Integration |
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| 1st Author's Name | Daisuke Morita |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Kyoji Iiduka |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Takahiko Murayama |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Junichi Akahani |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2011-11-21 11:30:00 |
| Presentation Time | 30 minutes |
| Registration for | AI |
| Paper # | AI2011-20 |
| Volume (vol) | vol.111 |
| Number (no) | no.310 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2011-11-14 (AI) |
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