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2007•Journal of SoftwareRequires access

A Technique to Generate and Optimize the Materialized Model for XML Data

Liang Zhang

Open publisher page 1 citations

Abstract

One way to improve the performance of XML (extensible markup language) management systems is to materialize part of the XML documents and store them aside in cache memory. In this paper, a method is presented to characterize query sets of XML data as schema graph, which is a technique to generate materialized plan based on the distribution of user's queries. Experimental results demonstrate its performance gain in XML cache management.

About this research paper

What this paper is about

One way to improve the performance of XML (extensible markup language) management systems is to materialize part of the XML documents and store them aside in cache memory. In this paper, a method is presented to characterize query sets of XML data as schema graph, which is a technique to generate materialized plan based on the distribution of user's queries. Experimental results demonstrate its performance gain in XML cache management.

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Available abstract

One way to improve the performance of XML (extensible markup language) management systems is to materialize part of the XML documents and store them aside in cache memory. In this paper, a method is presented to characterize query sets of XML data as schema graph, which is a technique to generate materialized plan based on the distribution of user's queries. Experimental results demonstrate its performance gain in XML cache management.

Key concepts: Materialized view, Computer science, XML, Information retrieval, Database, Efficient XML Interchange, XML database, Data mining

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