Effectively Inferring the Search-for Node Type in XML Keyword Search

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Title Effectively Inferring the Search-for Node Type in XML Keyword Search
Author Li, Jiang; Wang, Junhu
Publication Title 15th International Conference, DASFAA 2010 Proceedings Part I
Editor Kitagawa, H.; Ishikawa, Y.; Li, W.; Watanabe, C.
Year Published 2010
Place of publication Germany
Publisher Springer
Abstract xml keyword search provides a simple and user-friendly way of retrieving data from xml databases, but the ambiguities of keywords make it difficult to effectively answer keyword queries. XReal [4] utilizes the statistics of underlying data to resolve keyword ambiguity problems. However, we found their proposed formula for inferring the search-for node type suffers from inconsistency and abnormality problems. In this paper, we propose a dynamic reduction factor scheme as well as a novel algorithm DynamicInfer to resolve these two problems. Experimental results are provided to verify the effectiveness of our approach.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1007/978-3-642-12026-8_11
ISBN 9783642120251
Conference name Database Systems for Advanced Applications
Location Tsukuba, Japan
Date From 2010-04-01
Date To 2010-04-04
URI http://hdl.handle.net/10072/36148
Date Accessioned 2010-10-27
Date Available 2011-02-14T09:13:14Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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