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Efficient Identification of Structural Relationships for XML Queries using Secure Labeling Schemes

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  • S. Sankari

    (Anna University, Chennai, India)

  • S. Bose

    (Anna University, Chennai, India)

Abstract

XML emerged as a de-facto standard for data representation and information exchange over the World Wide Web. By utilizing document object model (DOM), XML document can be viewed as XML DOM tree. Nodes of an XML tree are labeled to uniquely identify every node by following a labeling scheme. This paper proposes a method to efficiently identify the two structural relationships namely document order (DO) and sibling relationship that exist between the XML nodes using two secure labeling schemes specifically enhanced Dewey coding (EDC) and secure Dewey coding (SDC). These structural relationships influence the performance of XML queries so they need to be identified in efficient time. This paper implements the method to identify DO and sibling relationship using EDC and SDC labels for various real-time XML documents. Experiment results show the identification of DO and sibling relationship using SDC labels performs better than EDC labels for processing XML queries.

Suggested Citation

  • S. Sankari & S. Bose, 2016. "Efficient Identification of Structural Relationships for XML Queries using Secure Labeling Schemes," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 12(4), pages 63-80, October.
    • Handle: RePEc:igg:jiit00:v:12:y:2016:i:4:p:63-80
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