Handling Topical Metadata Regarding the Validity and Completenes of Multiple-Source Information: A possibilistic approach

Célia Da Costa Pereira 1 Didier Dubois 2 Henri Prade 2 Andrea G. B. Tettamanzi 3
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Projet MinD
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 IRIT - Institut de recherche en informatique de Toulouse
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : We study the problem of aggregating metadata about the validity and/or completeness, with respect to given topics, of information provided by multiple sources. For a given topic, the validity level reflects the certainty that the information stored is true. The completeness level of a source on a given topic reflects the certainty that a piece of information that is not stored is false. We propose a modeling based on possibility theory which allows the fusion of such multi-source information into a graded belief base.
Keywords : Distributed Knowledge Management Possibility theory
Type de document :
Communication dans un congrès
Serafín Moral; Olivier Pivert; Daniel Sánchez; Nicolás Marín. 11th International Conference on Scalable Uncertainty Management (SUM 2017), Oct 2017, Granada, Spain. Springer, Lecture Notes in Computer Science, 10564, pp.363-376, 2017, Scalable Uncertainty Management - 11th International Conference, SUM 2017, Granada, Spain, October 4–6, 2017, Proceedings. 〈http://idbis.ugr.es/sum2017/index.html〉. 〈10.1007/978-3-319-67582-4_26〉
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Dernière modification le : mercredi 12 septembre 2018 - 17:46:03

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Célia Da Costa Pereira, Didier Dubois, Henri Prade, Andrea G. B. Tettamanzi. Handling Topical Metadata Regarding the Validity and Completenes of Multiple-Source Information: A possibilistic approach. Serafín Moral; Olivier Pivert; Daniel Sánchez; Nicolás Marín. 11th International Conference on Scalable Uncertainty Management (SUM 2017), Oct 2017, Granada, Spain. Springer, Lecture Notes in Computer Science, 10564, pp.363-376, 2017, Scalable Uncertainty Management - 11th International Conference, SUM 2017, Granada, Spain, October 4–6, 2017, Proceedings. 〈http://idbis.ugr.es/sum2017/index.html〉. 〈10.1007/978-3-319-67582-4_26〉. 〈hal-01615149〉

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