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Paper Abstract and Keywords
Presentation 2016-09-16 14:00
A study on the Multiple Label Propagation Algorithm Considering Properties of the LOD
Toshitaka Maki, Kazuki Takahashi, Toshihiko Wakahara, Akihiro Yamaguchi (FIT), Akihisa Kodate (Tsuda), Toru Kobayashi (Nagasaki Univ), Sonehara Noboru (NII) LOIS2016-24 IE2016-61 EMM2016-50
Abstract (in Japanese) (See Japanese page) 
(in English) The label propagation is a semi-supervised learning method to grant to classification labels to the nodes under the assumption of belonging to the same class. The authors noted that there is a problem in the definition of the link relationships and properties of the LOD in the CityData site. We proposed a multiple label propagation algorithm which extends the label propagation in order to solve the problem. The proposed algorithm can realize the extension of the LOD based on the teacher's data. In the present study, the multiple label propagation algorithm has been taken into account the properties of the LOD in order to realize the effective expansion of links and nodes. In addition, this multiple label propagation algorithm is applied to the link prediction of LOD and the link distance has been approached by the updated link.
Results of evaluation experiments using I-Scover data show that the label correct answer rate in the case of using a multiple propagation algorithm is improved and the validity of the proposed algorithm has been confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Linked Open Data / Multiple Label Propagation Algorithm / Graph Prediction / Property / I-Scover / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 220, LOIS2016-24, pp. 49-54, Sept. 2016.
Paper # LOIS2016-24 
Date of Issue 2016-09-08 (LOIS, IE, EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 LOIS2016-24 IE2016-61 EMM2016-50

Conference Information
Conference Date 2016-09-15 - 2016-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2016-09-ME-IE-EMM-LOIS-CMN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on the Multiple Label Propagation Algorithm Considering Properties of the LOD 
Sub Title (in English)  
Keyword(1) Linked Open Data  
Keyword(2) Multiple Label Propagation Algorithm  
Keyword(3) Graph Prediction  
Keyword(4) Property  
Keyword(5) I-Scover  
1st Author's Name Toshitaka Maki  
1st Author's Affiliation Fukuoka Institute of Technology (FIT)
2nd Author's Name Kazuki Takahashi  
2nd Author's Affiliation Fukuoka Institute of Technology (FIT)
3rd Author's Name Toshihiko Wakahara  
3rd Author's Affiliation Fukuoka Institute of Technology (FIT)
4th Author's Name Akihiro Yamaguchi  
4th Author's Affiliation Fukuoka Institute of Technology (FIT)
5th Author's Name Akihisa Kodate  
5th Author's Affiliation Tsuda College (Tsuda)
6th Author's Name Toru Kobayashi  
6th Author's Affiliation Nagasaki University (Nagasaki Univ)
7th Author's Name Sonehara Noboru  
7th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2016-09-16 14:00:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # LOIS2016-24, IE2016-61, EMM2016-50 
Volume (vol) vol.116 
Number (no) no.220(LOIS), no.221(IE), no.222(EMM) 
Page pp.49-54 
Date of Issue 2016-09-08 (LOIS, IE, EMM) 

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