Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9501)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: GKR 2015.
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Table of contents (9 papers)
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Front Matter
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Back Matter
Other volumes
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Graph Structures for Knowledge Representation and Reasoning
Keywords
- bayesian networks
- decision support systems
- multi-agent learning
- probabilistic reasoning
- semantic Web
- graph theory
- hypergraphs
- knowledge reasoning
- knowledge representation
- ontology engineering
- OWL
- probabilistic representations
- probability
- reasoning about belief and knowledge
- recommender systems
- resource description framework
- semantic Web description languages
- statistics
- theorem proving and sat solving
- Web ontology language
About this book
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 Artificial Intelligence. The 9 revised full papers presented were carefully reviewed and selected from 10 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: argumentation; conceptual graphs; RDF; and representations of constraint satisfaction problems.
Editors and Affiliations
Bibliographic Information
Book Title: Graph Structures for Knowledge Representation and Reasoning
Book Subtitle: 4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers
Editors: Madalina Croitoru, Pierre Marquis, Sebastian Rudolph, Gem Stapleton
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-28702-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-28701-0Published: 03 February 2016
eBook ISBN: 978-3-319-28702-7Published: 02 January 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 155
Number of Illustrations: 48 illustrations in colour
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Information Systems Applications (incl. Internet), Information Storage and Retrieval, Computer Communication Networks, Probability and Statistics in Computer Science