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Defeasible Reasoning In Web-Based Forms Through Argumentation

Author

Listed:
  • SERGIO ALEJANDRO GÓMEZ

    (Artificial Intelligence Research & Development Laboratory, Department of Computer Science & Engineering, Universidad Nacional del Sur, Av. Alem 1253, B8000CPB Bahía Blanca, Argentina)

  • CARLOS IVÁN CHESÑEVAR

    (Artificial Intelligence Research & Development Laboratory, Department of Computer Science & Engineering, Universidad Nacional del Sur, Av. Alem 1253, B8000CPB Bahía Blanca, Argentina;
    Artificial Intelligence Research Group, Department of Computer Science, Universitat de Lleida, Campus Cappont, C/Jaume II 69, E-25001 Lleida, Spain;
    CONICET (Consejo Nacional de Investigaciones, Científicas y Técnicas), Argentina)

  • GUILLERMO RICARDO SIMARI

    (Artificial Intelligence Research & Development Laboratory, Department of Computer Science & Engineering, Universidad Nacional del Sur, Av. Alem 1253, B8000CPB Bahía Blanca, Argentina)

Abstract

The notion of forms as a way of organizing and presenting data has been used since the beginning of the World Wide Web. Web-based forms have evolved together with the development of new markup languages, in which it is possible to provide validation scripts as part of the form code to test whether the intended meaning of the form is correct. However, for the form designer, part of this intended meaning frequently involves other features which are not constraints by themselves, but ratherattributesemerging from the form, which provide plausible conclusions in the context of incomplete and potentially inconsistent information. As the value of such attributes may change in presence of new knowledge, we call themdefeasible attributes. In this paper, we propose extending traditional web-based forms to incorporate defeasible attributes as part of the knowledge that can be encoded by the form designer. The proposed extension allows the specification of scripts for reasoning about form fields using a defeasible knowledge base, expressed in terms of a Defeasible Logic Program.

Suggested Citation

  • Sergio Alejandro Gómez & Carlos Iván Chesñevar & Guillermo Ricardo Simari, 2008. "Defeasible Reasoning In Web-Based Forms Through Argumentation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 71-101.
    • Handle: RePEc:wsi:ijitdm:v:07:y:2008:i:01:n:s021962200800282x
    DOI: 10.1142/S021962200800282X
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    Cited by:

    1. Gang Kou & Chunwei Lou, 2012. "Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data," Annals of Operations Research, Springer, vol. 197(1), pages 123-134, August.

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