Graph-based Knowledge Representation Computational Foundations of Conceptual Graphs /

• Main Authors: Chein, Michel. (Author), Mugnier, Marie-Laure. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2009.
• Series: Advanced Information and Knowledge Processing
• Subjects: Mathematics.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Discrete mathematics.; Discrete Mathematics.; Information Storage and Retrieval.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).
• Online Access: View fulltext via EzAccess

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties. Knowledge can be symbolically represented in many ways, and the authors have chosen labeled graphs for their modeling and comput...

Table of Contents:

• Foundations: Basic and Simple Conceptual Graphs
• Basic Conceptual Graphs
• Simple Conceptual Graphs
• Formal Semantics of SGs
• BG Homomorphism and Equivalent Notions
• Computational Aspects of Basic Conceptual Graphs
• Basic Algorithms for BG Homomorphism
• Tractable Cases
• Other Specialization/Generalization Operations
• Extensions
• Nested Conceptual Graphs
• Rules
• The BG Family: Facts, Rules and Constraints
• Conceptual Graphs with Negation
• An Application of Nested Typed Graphs: Semantic Annotation Bases.