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Proposition of a semi-automatic possibilistic information scoring process

Abstract : This paper proposes a semi-automatic three step information scoring process that starts from constructs representing structured pieces of information and a user query. It first identifies the constructs relevant to answer the user question, based on their similarity to the query. The relevant items are then individually scored, taking into account both the reliability of their source and the certainty the latter expresses through its choice of linguistic terms. Lastly, these individual scores are fused, modeling a corroboration process that takes into account information obsolescence and source relations. This procedure is performed in the framework of possibility theory, relying on the definition of the appropriate aggregation operators.
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Submitted on : Thursday, March 10, 2016 - 1:49:40 PM
Last modification on : Friday, January 8, 2021 - 5:34:11 PM


  • HAL Id : hal-01286168, version 1


Marie-Jeanne Lesot, Thomas Delavallade, Frédéric Pichon, Herman Akdag, Bernadette Bouchon-Meunier, et al.. Proposition of a semi-automatic possibilistic information scoring process. The 7th Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, Jul 2011, Aix-les-Bains, France. pp.949-956. ⟨hal-01286168⟩



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