Scalable Uncertainty Management 8th International Conference, SUM 2014, Oxford, UK, September 15-17, 2014. Proceedings /

This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover top...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Straccia, Umberto (Επιμελητής έκδοσης), Calì, Andrea (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Σειρά:Lecture Notes in Computer Science, 8720
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.