pDAML+OIL : a probabilistic extension to DAML+OIL based on probabilistic Datalog

As a representative of ontology languages, DAML+OIL is well-suited for describing objects and their properties. We show that real-life problems require uncertain facts and general rules, which are not supported by DAML+OIL. We extend DAML+OIL accordingly while preserving as much of the original semantics as possible, by mapping DAML+OIL models onto probabilistic Datalog


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