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Paper Abstract and Keywords
Presentation 2016-03-03 13:40
Proposal and Performance Evaluation of Multiple Label Propagation Algorithm for Linked Open Data Generation
Toshitaka Maki, Toshihiko Wakahara, Akihiro Yamaguchi (FIT), Yu Ichifuji, Noboru Sonehara (NII) LOIS2015-72
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, Linked Open Data (LOD) has been attracting attention in the world. It has been increasing year after year in Japan. However, there is created LOD that became independent by the individual organization. Herewith, many of the LOD is not existed enough links. In addition, there is LOD using own schema like “title”, “review”. For this reason, the accessibility and the usability of data is declining. In this study, we propose a new Multiple Label Propagation algorithm to bring out the attraction of the data by semi-supervised for linking LOD. This algorithm predicts the semantic label of the individual data using the assumptions of “Adjacent node belongs to the same class”. Thereby it is intended to extend the link between data. Also, it can correspond to the multi-label to considerate of the ambiguities of data. The results of evaluation experiments, we confirmed that the proposed method could get the label predicated value representing the semantic distance. In addition, we confirmed that the proposed method is much fast processing time than the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Linked Open Data / Multiple Label Propagation / Machine Learning / Graph Mining / Link Prediction / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 486, LOIS2015-72, pp. 51-56, March 2016.
Paper # LOIS2015-72 
Date of Issue 2016-02-25 (LOIS) 
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)
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Conference Information
Committee LOIS  
Conference Date 2016-03-03 - 2016-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Central Community Center, Miyakojima-City 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2016-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal and Performance Evaluation of Multiple Label Propagation Algorithm for Linked Open Data Generation 
Sub Title (in English)  
Keyword(1) Linked Open Data  
Keyword(2) Multiple Label Propagation  
Keyword(3) Machine Learning  
Keyword(4) Graph Mining  
Keyword(5) Link Prediction  
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1st Author's Name Toshitaka Maki  
1st Author's Affiliation Fukuoka Institute of Technology (FIT)
2nd Author's Name Toshihiko Wakahara  
2nd Author's Affiliation Fukuoka Institute of Technology (FIT)
3rd Author's Name Akihiro Yamaguchi  
3rd Author's Affiliation Fukuoka Institute of Technology (FIT)
4th Author's Name Yu Ichifuji  
4th Author's Affiliation National Institute of Informatics (NII)
5th Author's Name Noboru Sonehara  
5th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2016-03-03 13:40:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2015-72 
Volume (vol) vol.115 
Number (no) no.486 
Page pp.51-56 
#Pages 6 
Date of Issue 2016-02-25 (LOIS) 

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