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Graph Structures for Knowledge Representation and Reasoning

E-BookPDF1 - PDF WatermarkE-Book
139 Seiten
Englisch
Springer International Publishingerschienen am29.03.20181st ed. 2018
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR42,79
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR42,79
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49
Book on DemandKartoniert, Paperback
EUR44,94

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9783319781020
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2018
Erscheinungsdatum29.03.2018
Auflage1st ed. 2018
ReiheLecture Notes in Artificial Intelligence
Seiten139 Seiten
SpracheEnglisch
IllustrationenVII, 139 p.
Artikel-Nr.5848562
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

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