Evolving a Set of DTDs According to a Dynamic Set of XML Documents

  • Authors:
  • Elisa Bertino;Giovanna Guerrini;Marco Mesiti;Luigi Tosetto

  • Affiliations:
  • -;-;-;-

  • Venue:
  • EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
  • Year:
  • 2002

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Abstract

In this paper we address the problem of evolving a set of DTDs so to obtain a description as precise as possible of the structures of the documents actually stored in a source of XML documents. This problem is highly relevant in such a dynamic and heterogeneous environment as the Web. The approach we propose relies on the use of a classification mechanism based on document structure and on the use of data mining association rules to find out frequent structural patterns in data.