Chein / Mugnier Graph-based Knowledge Representation

Computational Foundations of Conceptual Graphs
1. Auflage 2008
ISBN: 978-1-84800-286-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 428 Seiten, eBook

Reihe: Advanced Information and Knowledge Processing

This book provides a de?nition and study of a knowledge representation and r- soning formalism stemming from conceptual graphs, while focusing on the com- tational properties of this formalism. Knowledge can be symbolically represented in many ways. The knowledge representation and reasoning formalism presented here is a graph formalism – knowledge is represented by labeled graphs, in the graph theory sense, and r- soning mechanisms are based on graph operations, with graph homomorphism at the core. This formalism can thus be considered as related to semantic networks. Since their conception, semantic networks have faded out several times, but have always returned to the limelight. They faded mainly due to a lack of formal semantics and the limited reasoning tools proposed. They have, however, always rebounded - cause labeled graphs, schemas and drawings provide an intuitive and easily und- standable support to represent knowledge. This formalism has the visual qualities of any graphic model, and it is logically founded. This is a key feature because logics has been the foundation for knowledge representation and reasoning for millennia. The authors also focus substantially on computational facets of the presented formalism as they are interested in knowledge representation and reasoning formalisms upon which knowledge-based systems can be built to solve real problems. Since object structures are graphs, naturally graph homomorphism is the key underlying notion and, from a computational viewpoint, this moors calculus to combinatorics and to computer science domains in which the algorithmicqualitiesofgraphshavelongbeenstudied,asindatabasesandconstraint networks.

Zielgruppe

Research

Autoren/Hrsg.

Chein, Michel

Mugnier, Marie-Laure

Inhaltsverzeichnis

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.