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Paper Abstract and Keywords
Presentation 2009-05-22 10:00
Ontology-based Measuring of Semantic Similarity between Documents
Yumiko Mizoguchi, Shinichi Nagano, Masumi Inaba, Takahiro Kawamura (Toshiba Corp.), Akihiko Ohsuga (The Univ. of Electro-Comm.) AI2009-1
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes techniques for measuring semantic similarity between documents. We use ontology
to make a machine understand the meaning of a word. Our system measures similarity based on the distance
between a pair of nodes. The words extracted from two documents for comparison are mapped to the nodes. In
this paper, we focused on two processes. The first is a measuring similarity between a pair of nodes in ontology.
The second is a method of aggregating the results of the similarity of each node. Human intuition is influenced
not only by a distance between nodes but also by a structure of the ontology. In the ontology of the domain of
the real world, the depth and width of a node’s descendant are not uniform. Furthermore, a more important word
influences human judgment more strongly. Our approach improved the correlation coefficient between the proposed
approaches and human judgment by considering these human intuitions.
Keyword (in Japanese) (See Japanese page) 
(in English) ontology / semantic / similarity / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 51, AI2009-1, pp. 1-6, May 2009.
Paper # AI2009-1 
Date of Issue 2009-05-15 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 AI  
Conference Date 2009-05-22 - 2009-05-22 
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 2009-05-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Ontology-based Measuring of Semantic Similarity between Documents 
Sub Title (in English)  
Keyword(1) ontology  
Keyword(2) semantic  
Keyword(3) similarity  
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1st Author's Name Yumiko Mizoguchi  
1st Author's Affiliation Toshiba Corporation (Toshiba Corp.)
2nd Author's Name Shinichi Nagano  
2nd Author's Affiliation Toshiba Corporation (Toshiba Corp.)
3rd Author's Name Masumi Inaba  
3rd Author's Affiliation Toshiba Corporation (Toshiba Corp.)
4th Author's Name Takahiro Kawamura  
4th Author's Affiliation Toshiba Corporation (Toshiba Corp.)
5th Author's Name Akihiko Ohsuga  
5th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Comm.)
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Speaker Author-1 
Date Time 2009-05-22 10:00:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2009-1 
Volume (vol) vol.109 
Number (no) no.51 
Page pp.1-6 
#Pages
Date of Issue 2009-05-15 (AI) 


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