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A Path Partitioning Technique for Indexing XML Data  

김종익 (서울대학교 컴퓨터공학부)
김형주 (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Databases / v.31, no.3, 2004 , pp. 320-330 More about this Journal
Abstract
Query languages for XML use paths in a data graph to represent queries. Actually, paths in a data graph are used as a basic constructor of an XML query. User can write more expressive Queries by using Patterns (e.g. regular expressions) for paths. There are many identical paths in a data graph because of the feature of semi-structured data. Current researches for indexing XML utilize identical paths in a data graph, but such an index can grow larger than source data graph and cannot guarantee efficient access path. In this paper we propose a partitioning technique that can partition all the paths in a data graph. We develop an index graph that can find appropriate partitions for a path query efficiently. The size of our index graph can be adjusted regardless of the source data. So, we can significantly improve the cost for index graph traversals. In the performance study, we show our index much faster than other graph based indexes.
Keywords
XML; XML; semi-structured data; path index; path partition;
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