Graph Structures for Knowledge Representation and Reasoning de Madalina Croitoru

Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers: Lecture Notes in Computer Science, cartea 10775

Madalina Croitoru

Pierre Marquis

Sebastian Rudolph

Gem Stapleton

en Limba Engleză Paperback – 21 mar 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.

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Paperback (2)	313^.56 lei 6-8 săpt.
Springer International Publishing – 3 feb 2016	313^.56 lei 6-8 săpt.
Springer International Publishing – 21 mar 2018	340^.18 lei 6-8 săpt.

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Paperback (2)

313^.56 lei 6-8 săpt.

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313^.56 lei 6-8 săpt.

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340^.18 lei 6-8 săpt.

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Specificații

ISBN-13: 9783319781013
ISBN-10: 3319781014
Pagini: 137
Ilustrații: VII, 139 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.