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Efficient Linear Path Query Processing using Information Retrieval Techniques for Large-Scale Heterogeneous XML Documents  

박영호 (한국과학기술원 전산학과)
한욱신 (경북대학교 컴퓨터공학과)
황규영 (한국과학기술원 전산학과)
Publication Information
Journal of KIISE:Databases / v.31, no.5, 2004 , pp. 540-552 More about this Journal
Abstract
We propose XIR-Linear, a novel method for processing partial match queries on large-scale heterogeneous XML documents using information retrieval (IR) techniques. XPath queries are written in path expressions on a tree structure representing an XML document. An XPath query in its major form is a partial match query. The objective of XIR-Linear is to efficiently support this type of queries for large-scale documents of heterogeneous schemas. XIR-Linear has its basis on the schema-level methods using relational tables and drastically improves their efficiency and scalability using an inverted index technique. The method indexes the labels in label paths as key words in texts, and allows for finding the label paths that match the queries far more efficiently than string match used in conventional methods. We demonstrate the efficiency and scalability of XIR-Linear by comparing it with XRel and XParent using XML documents crawled from the Internet. The results show that XIR-Linear is more efficient than both XRel and XParent by several orders of magnitude for linear path expressions as the number of XML documents increases.
Keywords
XML; partial match queries; inverted indexes; Information Retrieval; XIR-Linear; IR;
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