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.
CITATION STYLE
da Costa Pereira, C., Dubois, D., Prade, H., & Tettamanzi, A. G. B. (2017). Handling topical metadata regarding the validity and completeness of multiple-source information: A possibilistic approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10564 LNAI, pp. 363–376). Springer Verlag. https://doi.org/10.1007/978-3-319-67582-4_26
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