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Communication Dans Un Congrès Année : 2022

Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness

Résumé

We investigate how metadata about the uncertainty of knowledge contained in a knowledge base can be expressed parsimoniously and used for reasoning. We propose an approach based on possibility theory, whereby a classical knowledge base plus metadata about the degree of validity and completeness of some of its portions are used to represent a possibilistic belief base. We show how reasoning on such belief base can be done using a classical reasoner.
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Dates et versions

hal-03719603 , version 1 (11-07-2022)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Citer

Célia da Costa Pereira, Didier Dubois, Henri Prade, Andrea G. B. Tettamanzi. Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness. ICAART 2022 - 14th International Conference on Agents and Artificial Intelligence, Feb 2022, Online Streaming, Portugal. pp.441-449, ⟨10.5220/0010874000003116⟩. ⟨hal-03719603⟩
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