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Graph Structures for Knowledge Representation and Reasoning : 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers / edited by Madalina Croitoru, Pierre Marquis, Sebastian Rudolph, Gem Stapleton.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Croitoru, Madalina, Editor.
Marquis, Pierre, Editor.
Rudolph, Sebastian, Editor.
Stapleton, Gem, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 10775
Lecture Notes in Artificial Intelligence, 2945-9141 ; 10775
Language:
English
Subjects (All):
Artificial intelligence.
Machine theory.
Application software.
Information storage and retrieval systems.
Computer networks.
Computer science-Mathematics.
Mathematical statistics.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Computer Communication Networks.
Probability and Statistics in Computer Science.
Local Subjects:
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Computer Communication Networks.
Probability and Statistics in Computer Science.
Physical Description:
1 online resource (VII, 139 pages)
Edition:
1st ed. 2018.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
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.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-78102-0
9783319781020
Access Restriction:
Restricted for use by site license.

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