Titlebook: Uncertainty Reasoning for the Semantic Web III; ISWC International W Fernando Bobillo,Rommel N. Carvalho,Michael Pool Conference proceeding

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0302-9743 listic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.978-3-319-13412-3978-3-319-13413-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge, source ontologies. The proposed approach allows to discover cross-concept relations of the kind many-to-many. An important application of the method is found in the field of cross-lingual ontology matching.

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TOM

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Uncertainty Estimation and Analysis of Categorical Web Data,monstrate how to use the Battacharyya stastistical distance to quantify the similarity between Dirichlet distributions, and use such results to analyze a Web dataset of piracy attacks both visually and automatically.

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Ontological CP-Nets,main are structured via an underlying domain ontology. We show how the computation of all undominated feasible outcomes of an ontological CP-net can be reduced to the solution of a constraint satisfaction problem, and study the computational complexity of the basic reasoning problems in ontological CP-nets.

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Semantics and Inference for Probabilistic Description Logics,aader and Peñaloza. Both algorithms then build a Binary Decision Diagram (BDD) representing the formula and compute the probability from the BDD using a dynamic programming algorithm. We also present experiments comparing the performance of BUNDLE and TRILL.

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monogamy