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XML Document Filtering based on Segments  

Kwon, Joon-Ho (서울대학교 전기컴퓨터공학부)
Rao, Praveen (미주리켄사스대학교)
Moon, Bong-Ki (아리조나대학교 전산학과)
Lee, Suk-Ho (서울대학교 전기컴퓨터공학부)
Publication Information
Journal of KIISE:Databases / v.35, no.4, 2008 , pp. 368-378 More about this Journal
Abstract
In recent years, publish-subscribe (pub-sub) systems based on XML document filtering have received much attention. In a typical pub-sub system, subscribed users specify their interest in profiles expressed in the XPath language, and each new content is matched against the user profiles so that the content is delivered to only the interested subscribers. As the number of subscribed users and their profiles can grow very large, the scalability of the system is critical to the success of pub-sub services. In this paper, we propose a fast and scalable XML filtering system called SFiST which is an extension of the FiST system. Sharable segments are extracted from twig patterns and stored into the hash-based Segment Table in SFiST system. Segments are used to represent user profiles as Terse Sequences and stored in the Compact Segment Index during filtering. Our experimental study shows that SFiST system has better performance than FiST system in terms of filtering time and memory usage.
Keywords
XML filtering; segment; twig pattern; Prufer sequence;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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