Graph Structures for Knowledge Representation and Reasoning 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers / [electronic resource] :
edited by Madalina Croitoru, Pierre Marquis, Sebastian Rudolph, Gem Stapleton.
- 1st ed. 2018.
- VII, 139 p. online resource.
- Lecture Notes in Artificial Intelligence, 10775 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 10775 .
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.
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.
9783319781020
10.1007/978-3-319-78102-0 doi
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.
Q334-342 TA347.A78
006.3
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.
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.
9783319781020
10.1007/978-3-319-78102-0 doi
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.
Q334-342 TA347.A78
006.3