Titlebook: Uncertainty Reasoning for the Semantic Web II; International Worksh Fernando Bobillo,Paulo C. G. Costa,Michael Pool Conference proceedings

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Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probabilitylanguage that is capable of representing and reasoning about different kinds of uncertainty in ontologies, namely generic probabilistic relationships between concepts and probabilistic facts about individuals. However, some semantic properties of P-. have been unclear which raised concerns regarding

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Pronto: A Practical Probabilistic Description Logic Reasonerf probabilistic axioms. We describe in detail the novel probabilistic satisfiability (PSAT) algorithm which lies at the heart of Pronto’s architecture. Its key difference from previously developed (propositional) PSAT algorithms is its interaction with the underlying DL reasoner which, first, enable

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Instance-Based Non-standard Inferences in , with Subjective Probabilitiesrobabilities reasoning procedures for testing instance relations based on the completion method have been developed..In this paper we extend this technique to devise algorithms for solving non-standard inferences for . and its probabilistic extension Prob- .: computing the most specific concept of a

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Reasoning in Fuzzy OWL 2 with DeLoreanparticular, several fuzzy extensions have been proposed in the literature. In this paper, we present the fuzzy ontology reasoner ., the first to support a fuzzy extension of OWL?2. We discuss how to use it for fuzzy ontology representation and reasoning, and describe some implementation details and

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Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Datad how similar it is to other concepts. Human experts can resolve their differences through discussion, whereas ontology mapping systems need to be able to eliminate contradictions before similarity combination can achieve high quality results. In these situations, different similarities represent co

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Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiREs capable of storing and querying over a knowledge base, have been proposed. Recently, fuzzy extensions to ontology languages have gained considerable attention especially due to their ability to handle vague information. In this paper we investigate on the issue of using classical RDF storing syste

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Transforming Fuzzy Description Logic , into Classical Description Logic ,se the already existing DL systems to do the reasoning of . by applying the result of this paper. This work is inspired by Straccia, who has transformed the fuzzy Description Logic . into the classical Description Logic ..

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PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methodserefore, many researchers have developed algorithms and systems to help automate the process. Among them are systems that incorporate text corpora in the knowledge acquisition process. Here, we provide a novel method for unsupervised bottom-up ontology generation. It is based on lexico-semantic stru