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A novel method for measuring semantic similarity for XML schema matching

Title
A novel method for measuring semantic similarity for XML schema matching
Authors
Jeong, BLee, DCho, HLee, J
POSTECH Authors
Cho, HLee, J
Date Issued
Jan-2008
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Abstract
Enterprises integration has recently gained great attentions, as never before. The paper deals with an essential activity enabling seamless enterprises integration, that is, a similarity-based schema matching. To this end, we present a supervised approach to measure semantic similarity between XML schema documents, and, more importantly, address a novel approach to augment reliably labeled training data from a given few labeled samples in a semi-supervised manner. Experimental results reveal the proposed method is very cost-efficient and reliably predicts semantic similarity. (C) 2007 Elsevier Ltd. All rights reserved.
Keywords
integrated similarity; NNPLS; schema matching; semantic similarity; semi-supervised learning; XML; CLASSIFICATION
URI
http://oasis.postech.ac.kr/handle/2014.oak/22919
DOI
10.1016/J.ESWA.2007.
ISSN
0957-4174
Article Type
Article
Citation
EXPERT SYSTEMS WITH APPLICATIONS, vol. 34, no. 3, page. 1651 - 1658, 2008-01
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 CHO, HYUNBO
Dept of Industrial & Management Enginrg
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