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Graph-based Knowledge Representation
Chein, Michel; Mugnier, Marie-Laure
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Description for Graph-based Knowledge Representation
Paperback. In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized. Series: Advanced Information and Knowledge Processing. Num Pages: 442 pages, 2 black & white tables, biography. BIC Classification: UND; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 619.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer London Ltd United Kingdom
Number of pages
442
Condition
New
Series
Advanced Information and Knowledge Processing
Number of Pages
428
Place of Publication
England, United Kingdom
ISBN
9781849967693
SKU
V9781849967693
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Graph-based Knowledge Representation
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 ... Read more