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Paper Abstract and Keywords
Presentation 2007-07-02 14:55
An Approach for XML Similarity Join using Tree Serialization
Lianzi Wen, Toshiyuki Amagasa, Hiroyuki Kitagawa (University of Tsukuba) DE2007-37
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we propose a scheme for similarity join over XML data
based on XML data serialization and subsequent similarity matching
over XML node subsequences. Due to the recent explosive diffusion
of XML, large amount of electronic data are now marked up with XML.
As a consequence, there are growing number of XML data which
represent similar contents, but have dissimilar structures. In
order to extract as much information as possible from those
heterogeneous information, similarity join has been used.
Basically, our (proposed) similarity join for XML data can be
summarized as follows: 1) we serialize XML data as XML node
sequences; 2) we extract semantically/structurally coherent
subsequences; 3) we filter out dissimilar subsequences using textual
information; and 4) we extract pairs of subsequences as final result
by checking structural similarity. We make use of the bloom
filter, which is a probabilistic method for set member test, to
measure similarities over texts, and the edit similarity to
measure structural similarities over node sequences.
Keyword (in Japanese) (See Japanese page) 
(in English) XML / similarity join / XML data serialization / bloom filter / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 131, DE2007-37, pp. 91-96, July 2007.
Paper # DE2007-37 
Date of Issue 2007-06-25 (DE) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF DE2007-37

Conference Information
Committee DE  
Conference Date 2007-07-02 - 2007-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Akiu hot springs (Sendai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Summer Database Workshop 2007 (Data engineering, etc.) 
Paper Information
Registration To DE 
Conference Code 2007-07-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Approach for XML Similarity Join using Tree Serialization 
Sub Title (in English)  
Keyword(1) XML  
Keyword(2) similarity join  
Keyword(3) XML data serialization  
Keyword(4) bloom filter  
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1st Author's Name Lianzi Wen  
1st Author's Affiliation University of Tsukuba (University of Tsukuba)
2nd Author's Name Toshiyuki Amagasa  
2nd Author's Affiliation University of Tsukuba (University of Tsukuba)
3rd Author's Name Hiroyuki Kitagawa  
3rd Author's Affiliation University of Tsukuba (University of Tsukuba)
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Speaker
Date Time 2007-07-02 14:55:00 
Presentation Time 25 
Registration for DE 
Paper # IEICE-DE2007-37 
Volume (vol) IEICE-107 
Number (no) no.131 
Page pp.91-96 
#Pages IEICE-6 
Date of Issue IEICE-DE-2007-06-25 


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