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Yimon Thet

University of Computer Studies, Yangon

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ABSTRACT

Since XML (eXtensible Markup) is the popular language for the data over the Internet, managing and querying XML data are interested topic in research area. Based on the tree-structured XML data model, XML query is divided into two types such as simple path query and twig (branch) query. Moreover, XML query consists of two parts: structural constraints and value constraints for processing the tree-structured XML data. Therefore, in order to efficiently processing the XML data, indexing schemes are vital role in XML query processing systems. There are many indexing schemes are proposed in literature. Among them,   structural path summary indexing scheme is efficiently support for path queries and achieve precise answer. It is also capable for solving the twig queries but additional join processing steps are needed to achieve precise answer. In this paper, we propose the extendible hashing scheme that is used as twig indexing scheme  and  is combined into existing 1-index (backward bisimilarity) structural path  indexing  scheme for processing twig queries that can be achieved precise answer. In this proposed system, structural and content search of twig query are processed on backward bisimilarity indexing scheme (1-index) and results of the twig query are extracted from twig hash indexing scheme. As a result, precise answers for twig query can be achieved without additional join processing steps. We have conducted on a series of experiments on the DBLP XML datasets to evaluate the performance of the proposed system

 

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