Graph Structures for Knowledge Representation and Reasoning

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Details

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2017, held in Melbourne, VIC, Australia, in August 2017, associated with IJCAI 2017, the 26th International Joint Conference on Artificial Intelligence. The 7 revised full papers presented were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap between the different communities.


Inhalt
Exploring, Reasoning With and Validating Directed Graphs by Applying Formal Concept Analysis to Conceptual Graphs.- Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding.- Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm.- Representing and Reasoning about Logical Network Topologies.- From Enterprise Concepts to Formal Concepts: A University Case Study.- Visualizing ALC Using Concept Diagrams.- Graph Theoretical Properties of Logic Based Argumentation Frameworks: Proofs and General Results.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319781013
    • Genre Information Technology
    • Auflage 1st ed. 2018
    • Editor Madalina Croitoru, Pierre Marquis, Sebastian Rudolph, Gem Stapleton
    • Lesemotiv Verstehen
    • Anzahl Seiten 139
    • Größe H235mm x B155mm
    • Jahr 2018
    • EAN 9783319781013
    • Format Kartonierter Einband
    • ISBN 978-3-319-78101-3
    • Veröffentlichung 21.03.2018
    • Titel Graph Structures for Knowledge Representation and Reasoning
    • Untertitel 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers
    • Gewicht 238g
    • Herausgeber Springer-Verlag GmbH
    • Sprache Englisch

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