Fuzzy query model for XML documents

  • Authors:
  • Jeany Seto;Shane Clement;David Duong;Keivan Kianmehr;Reda Alhajj

  • Affiliations:
  • Dept. of Computer Science, University of Calgary, Calgary, Alberta, Canada;Dept. of Computer Science, University of Calgary, Calgary, Alberta, Canada;Dept. of Computer Science, University of Calgary, Calgary, Alberta, Canada;Dept. of Computer Science, University of Calgary, Calgary, Alberta, Canada;Dept. of Computer Science, University of Calgary, Calgary, Alberta, Canada and Dept. of Computer Science, Global University, Beirut, Lebanon

  • Venue:
  • IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
  • Year:
  • 2009

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Abstract

To address the needs of a wider user group than professionals and to increase the accessibility to shared XML documents, this paper presents a system with a GUI query builder which generates XQuery statements that support for both strict and fuzzy qualifiers. Our motivation is the fact that XML is rapidly becoming the format of choice to contain information for both storage and transfer. Consequently, as more information is contained in XML there is a need to develop a way for non-technical users to query for information contained in XML documents. In this sense, the human language can be vague in describing queries and hence incorporating fuzziness in the GUI would be more appropriate. This is especially true when we think of naive users who are not expected to understand structured query languages. A user can comfortably specify a query in simple terms and the developed intermediate layer is responsible to hide the details of the transformation process from the user. The target is a two-fold approach that satisfies the user the best and use XQuery to access the XML documents at the back end.