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Nikolov, Andriy; Uren, Victoria; Motta, Enrico and De Roeck, Anne
(2008).
DOI: https://doi.org/10.1007/978-3-540-89765-1_9
Abstract
Automated ontology population using information extraction algorithms can produce inconsistent knowledge bases. Confidence values assigned by the extraction algorithms may serve as evidence in helping to repair inconsistencies. The Dempster-Shafer theory of evidence is a formalism, which allows appropriate interpretation of extractors’ confidence values. This chapter presents an algorithm for translating the subontologies containing conflicts into belief propagation networks and repairing conflicts based on the Dempster-Shafer plausibility.