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Graph Structures for Knowledge Representation and Reasoning

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Cover of 'Graph Structures for Knowledge Representation and Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 Local Characterizations of Causal Bayesian Networks
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    Chapter 2 Boolean Formulas of Simple Conceptual Graphs ( $\mathcal{SGBF}$ )
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    Chapter 3 Conflict, Consistency and Truth-Dependencies in Graph Representations of Answer Set Logic Programs
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    Chapter 4 Bucket and Mini-bucket Schemes for M Best Solutions over Graphical Models
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    Chapter 5 Supporting Argumentation Systems by Graph Representation and Computation
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    Chapter 6 Representing CSPs with Set-Labeled Diagrams: A Compilation Map
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    Chapter 7 A Semantic Web Interface Using Patterns: The SWIP System
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    Chapter 8 Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs
Attention for Chapter 2: Boolean Formulas of Simple Conceptual Graphs ( $\mathcal{SGBF}$ )
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Chapter title
Boolean Formulas of Simple Conceptual Graphs ( $\mathcal{SGBF}$ )
Chapter number 2
Book title
Graph Structures for Knowledge Representation and Reasoning
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-29449-5_2
Book ISBNs
978-3-64-229448-8, 978-3-64-229449-5
Authors

Olivier Carloni

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