Description:
Probabilistic Planning in Hybrid Probabilistic Logic Programs -- Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web -- A Fuzzy Set-Based Approach to Temporal Databases -- Finding Most Probable Worlds of Probabilistic Logic Programs -- Managing Uncertainty in Schema Matcher Ensembles -- The Consistency Extractor System: Querying Inconsistent Databases Using Answer Set Programs -- Incomplete Statistical Information Fusion and Its Application to Clinical Trials Data -- Quality Measures in Uncertain Data Management -- Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying -- Composable Markov Building Blocks -- Tractable Probabilistic Description Logic Programs -- Valued Hesitation in Intervals Comparison -- Aggregates in Generalized Temporally Indeterminate Databases -- An Indexing Technique for Fuzzy Numerical Data -- Combining Uncertain Outputs from Multiple Ontology Matchers -- Preferred Database Repairs Under Aggregate Constraints -- Consistent Data Integration in P2P Deductive Databases -- Learning from Imprecise Granular Data Using Trapezoidal Fuzzy Set Representations -- Refining Aggregation Functions for Improving Document Ranking in Information Retrieval -- A Qualitative Bipolar Argumentative View of Trust.