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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14343

Title: On the Use of the Dempster Shafer Model in Information Indexing and Retrieval Applications
Authors: Schocken, Shimon
Hummel, Robert A.
Keywords: Theory of evidence
Dempster Shafer model
relevance measures
information indexing and retrieval
Issue Date: 12-Oct-1992
Publisher: Stern School of Business, New York University
Series/Report no.: IS-92-27
Abstract: The Dempster Shafer theory of evidence concerns the elicitation and manipulation of degrees of belief rendered by multiple sources of evidence to a common set of propositions. Information indexing and retrieval applications use a variety of quantitative means - both probabilistic and quasi-probabilistic - to represent and manipulate relevance numbers and index vectors. Recently, several proposals were made to use the Dempster Shafer model as a relevance calculus in such applications. The paper provides a critical review of these proposals, pointing at several theoretical caveats and suggesting ways to resolve them. The methodology is based on expounding a canonical indexing model whose relevance measures and combination mechanisms are shown to be isomorphic to Shafer 's belief functions and to Dempster's rule, respectively. Hence, the paper has two objectives: (i) to describe and resolve some caveats in the way the Dempster Shafer theory is applied to information indexing and retrieval, and (ii) to provide an intuitive interpretation of the Dempster Shafer theory, as it unfolds in the simple context of a canonical indexing model.
URI: http://hdl.handle.net/2451/14343
Appears in Collections:IOMS: Information Systems Working Papers

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