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Paper Abstract and Keywords
Presentation 2013-02-22 09:00
Semantic Self-Organizing Map for Natural Disaster News
Carlos Enrique Gutierrez, Mohammad Reza Asharif (Univ. of the Ryukyus), Rafael Villa (InterAmerican Development Bank), Katsumi Yamashita (Osaka Prefecture Univ.), He Cuiwei, Hayao Miyagi, Shiro Tamaki (Univ. of the Ryukyus) SAT2012-58
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we explore the properties of a set of news published after a natural disaster by using SOM (Self-organizing Maps), mainly the semantic characteristics of the generated map. SOM is used to produce a low-dimensional representation of the input data space by mapping high dimensional vectors into a 2-dimensional grid. Our SOM is composed by fewer units than input vectors; training stage produces not only a visual representation but also a set of quantization points that can be considered as groups of highly related news. In order to get semantic descriptions about map organization, news context is interpreted as a set of most frequent words that gives an idea of their “meanings”. The meanings obtained forms areas that divide the map, showing automatically the semantic relation of the inputs.
Firstly, online news are converted to text files and encoded as numerical vectors by applying principal component analysis (PCA). Secondly, a SOM is developed and trained. Finally, semantic descriptions are obtained for each quantization point by interpreting the news contexts.
Keyword (in Japanese) (See Japanese page) 
(in English) artificial intelligence / self organizing map / neural network / data mining / clustering / Kohonen network / semantic network / pca  
Reference Info. IEICE Tech. Rep., vol. 112, no. 440, SAT2012-58, pp. 67-71, Feb. 2013.
Paper # SAT2012-58 
Date of Issue 2013-02-14 (SAT) 
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 SANE SAT  
Conference Date 2013-02-21 - 2013-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Youth Center of Okinawa prefecture 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite application and general 
Paper Information
Registration To SAT 
Conference Code 2013-02-SANE-SAT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Semantic Self-Organizing Map for Natural Disaster News 
Sub Title (in English)  
Keyword(1) artificial intelligence  
Keyword(2) self organizing map  
Keyword(3) neural network  
Keyword(4) data mining  
Keyword(5) clustering  
Keyword(6) Kohonen network  
Keyword(7) semantic network  
Keyword(8) pca  
1st Author's Name Carlos Enrique Gutierrez  
1st Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
2nd Author's Name Mohammad Reza Asharif  
2nd Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
3rd Author's Name Rafael Villa  
3rd Author's Affiliation InterAmerican Development Bank (InterAmerican Development Bank)
4th Author's Name Katsumi Yamashita  
4th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
5th Author's Name He Cuiwei  
5th Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
6th Author's Name Hayao Miyagi  
6th Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
7th Author's Name Shiro Tamaki  
7th Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
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Speaker Author-1 
Date Time 2013-02-22 09:00:00 
Presentation Time 25 minutes 
Registration for SAT 
Paper # SAT2012-58 
Volume (vol) vol.112 
Number (no) no.440 
Page pp.67-71 
#Pages 5 
Date of Issue 2013-02-14 (SAT) 

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