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

坦白

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

躲債

牲畜欄

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.

縫紉

TOM

責(zé)任

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.

BRAND

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.

任命

Semantics and Inference for Probabilistic Description Logics,aader and Pe?aloza. 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.

bizarre

monogamy