Scalable Uncertainty Management, 2014 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014, Proceedings Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Straccia Umberto, Cali Andrea
Possibilistic networks: A new setting for modeling preferences.- Min-based assertional merging approach for possibilistic DL-Lite knowledge bases.- On the revision of possibilistic DL-Lite knowledge bases.- Interval-based possibilistic networks.- Tractable vs. Intractable Cases of Query Answering under Matching Dependencies.- Analogical classification: Handling numerical data.- Lazy Analogical Classification: Optimization and Precision Issues.- Update Operators for Inconsistent Query Answering: A New Point of View.- Improving Inconsistency Resolution by Considering Global Conflicts.- Probabilistic Argumentation Frameworks - A Logical Approach.- Computing Skyline from Evidential Data.- A Two-Level Approach to Maximum Entropy Model Computation for Relational Probabilistic Logic Based on Weighted Conditional Impacts: Solving Hidden-Semi-Markov-Mode Markov Decision Problems.- Probabilistic Strategies in Dialogical Argumentation.- Analytics over Probabilistic Unmerged Duplicates.- Answering Ontological Ranking Queries based on Subjective Reports.- A Petri net model of argumentation dynamics.- Integrity Constraints for Probabilistic Spatio-Temporal Knowledgebases.
Date de parution : 09-2014
Ouvrage de 322 p.
15.5x23.5 cm
Thèmes de Scalable Uncertainty Management :
Mots-clés :
data complexity; data mining; database quering; decision-support systems; distributed data sources; image recognition; information extraction; natural language processing; possibility theory; probabilistic databases; semantic Web; social Web; text mining; uncertain databases; uncertainty in knowledge representation and reasoning