2010Unpublished venueRequires access

Path-partitioned Encoding Optimizes Twig Queries

Zhang Jun

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Abstract

Effectively storing and querying XML documents becomes a hot research topic on current database domain.In the light of path summary,path-partitioned encoding scheme was proposed to store an XML document,and useful for eliminating descendant axes and wildcards in twig queries.For twig queries without // or *,a new query algorithm was developed based on structure-constrained nodes,so structural joins extremely decreases.The results of experi-ments indicate the algorithm can significantly filter useless elements and improve the performance for twig queries.

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What this paper is about

Effectively storing and querying XML documents becomes a hot research topic on current database domain.In the light of path summary,path-partitioned encoding scheme was proposed to store an XML document,and useful for eliminating descendant axes and wildcards in twig queries.For twig queries without // or *,a new query algorithm was developed based on structure-constrained nodes,so structural joins extremely decreases.The results of experi-ments indicate the algorithm can significantly filter useless elements and improve the performance for twig queries.

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Available abstract

Effectively storing and querying XML documents becomes a hot research topic on current database domain.In the light of path summary,path-partitioned encoding scheme was proposed to store an XML document,and useful for eliminating descendant axes and wildcards in twig queries.For twig queries without // or *,a new query algorithm was developed based on structure-constrained nodes,so structural joins extremely decreases.The results of experi-ments indicate the algorithm can significantly filter useless elements and improve the performance for twig queries.

Key concepts: Computer science, Twig, Joins, Path (computing), Encoding (memory), XML, XPath, Scheme (mathematics)

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