Overview
- The first book to provide a comprehensive overview on the computational facets of conceptual graphs
- Intuitively introduces the main notions of graph theory from a knowledge representation viewpoint, and give precise definitions of these notions together with complete proofs of the theorems
- In its provision of strong theoretical bases the book links up fundamental problems in conceptual graphhs with important problems in computer science, and contains algorithms for reasoning
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (13 chapters)
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Foundations: Basic and Simple Conceptual Graphs
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Computational Aspects of Basic Conceptual Graphs
Reviews
From the reviews:
"This well-written book is a wonderful text for researchers working on theoretical artificial intelligence (AI). Fundamentally, AI represents knowledge with mathematical objects and then designs computational rules to manipulate these objects. … In summary, this is a theoretical book for a graph-based approach to knowledge representation. … A number of detailed algorithms presented in the book may serve as good references for designing a variety of AI systems, such as database mining and logic reasoning." (Hsun-Hsien Chang, ACM Computing Reviews, April, 2009)
Authors and Affiliations
Bibliographic Information
Book Title: Graph-based Knowledge Representation
Book Subtitle: Computational Foundations of Conceptual Graphs
Authors: Michel Chein, Marie-Laure Mugnier
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-84800-286-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-285-2Published: 21 October 2008
Softcover ISBN: 978-1-84996-769-3Published: 22 October 2010
eBook ISBN: 978-1-84800-286-9Published: 20 October 2008
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XIV, 428
Topics: Discrete Mathematics, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Artificial Intelligence