Graph Structures for Knowledge Representation and Reasoning 4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers /

Graph Structures for Knowledge Representation and Reasoning 4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Aires, Argentina, in July 2015, associated with IJCAI 2015, the 24th International Joint Conference on...

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Bibliographic Details
Published in:Springer eBooks
Corporate Author: SpringerLink (Online service)
Other Authors: Croitoru, Madalina (Editor), Marquis, Pierre (Editor), Rudolph, Sebastian (Editor), Stapleton, Gem (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Lecture Notes in Computer Science,
Subjects:
Computer Science.
Computer communication systems.
Mathematical logic.
Mathematical statistics.
Information Storage and Retrieval.
Artificial intelligence.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Probability and Statistics in Computer Science.
Online Access:http://dx.doi.org/10.1007/978-3-319-28702-7
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Table of Contents:
  • Designing a Knowledge Representation Tool for Subject Matter Structuring
  • Aligning Experientially Grounded Ontologies using Language Games
  • An overview of argumentation frameworks for decision support
  • Learning Optimal Bayesian Networks with DAG Graphs
  • Combinatorial results on directed hypergraphs for the SAT problem
  • Conceptual Graphs for Formally Managing and Discovering Complementary Competences
  • Subjective Networks: Perspectives and Challenges
  • RDF-SQ: Mixing Parallel and Sequential Computation For Top-down OWL RL Inference
  • Bring User Interest to Related Entity Recommendation.

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