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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Improving the Relational Evaluation of XML Queries by Means of Path Summaries
verfasst von : Sherif Sakr
Erschienen in: Intelligent Data Engineering and Automated Learning – IDEAL 2008
Verlag: Springer Berlin Heidelberg
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XML query languages such as XQuery, XSLT and SQL/XML are mainly dependent on XPath as the search and extraction language. XPath expressions often define complicated navigations which require expensive query processing costs especially when they are executed over large collections of XML documents. In this paper, we describe an approach of exploiting materialized XPath views to improve the efficiency of relational query processing of XML queries. The main contribution of this paper is to show that an intuitive and
very cheap
Data Guide synopsis of XML path summaries in addition a
light-wight
tracing of XPath steps can significantly reduce the XML query-evaluation costs in the relational hosts. Our experiments shows that the overhead introduced by the use of path summaries and an additional path identifier of node-based relational encoding of the XML documents is negligible but can result in significant reduction of the processing costs of relational evaluation of XML queries.