Probability and equality: a probabilistic model of identity uncertainty

Authors:
Rita Sharma;David Poole
Affiliations:
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada;Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
Venue:
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

Identity uncertainty is the task of deciding whether two descriptions correspond to the same object In this paper we discuss the identity uncertainty problem in the context of the person identity uncertainty problem – the problem of deciding whether two descriptions refer to the same person We model the inter-dependence of the attributes using a similarity network representation We present results that show that our method outperforms the traditional approach for person identity uncertainty which considers the attributes as independent of each other.