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An adaptable and adjustable mapping from XML data to tables in RDB

  • Xiao Ling Wang*
  • , Jin Feng Luan
  • , Yi Sheng Dong
  • *Corresponding author for this work
  • Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The purpose of this paper is to present the results of an initial study about automatically storing XML data in RDBMS. These are some research about storing given XML data, and most of these approaches based on pre-defined rules and heuristics, without considering application requirement and workload. As the result, the relational schema obtained for given XML is often not optimal for query performance. As a first step, this study was focused on providing an adaptable and adjustable strategy for modelling XML data in relational database systems. This AAM (Adjustable and Adaptable Method) takes advantage of the GA (Genetic Algorithm) to design data schema in RDBMS based on cost-driven approach, we implement and evaluate our approach. Experiments, show that this method provides an adaptable and automatic mapping from XML data to physical tables in RDBMS with respect to different users and application requirement.

Original languageEnglish
Title of host publicationEfficiency and Effectiveness of XMLTools and Techniques and Data Integration over the Web, VLDB 2002 Workshop EEXTT and CAiSE 2002 Workshop DIWeb, Revised Papers
PublisherSpringer Verlag
Pages117-130
Number of pages14
ISBN (Print)9783540007364
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2590
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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