Abstract
This paper describes the use of the Dempster-Shafer theory of evidence to construct an information retrieval model that aims to capture four essential features of information: structure, significance, uncertainty and partiality. We show that Dempster-Shafer’s initial framework allows the representation of the structure and the significance of information, and that the notion of refinement later introduced by Shafer allows the representation of the uncertainty and the partiality of information. An implementation of the model is briefly discussed.
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Lalmas, M. (1998). Information Retrieval and Dempster-Shafer’s Theory of Evidence. In: Hunter, A., Parsons, S. (eds) Applications of Uncertainty Formalisms. Lecture Notes in Computer Science(), vol 1455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49426-X_8
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DOI: https://doi.org/10.1007/3-540-49426-X_8
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