Graph-based Knowledge Representation
computational foundations of conceptual graphs
$556.12
- Paperback
428 pages
- Release Date
22 October 2010
Summary
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 th…
Book Details
| ISBN-13: | 9781849967693 |
|---|---|
| ISBN-10: | 1849967695 |
| Author: | Michel Chein, Marie-Laure Mugnier |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Paperback |
| Number of Pages: | 428 |
| Edition: | 1st |
| Release Date: | 22 October 2010 |
| Weight: | 676g |
| Dimensions: | 235mm x 155mm |
| Series: | Advanced Information and Knowledge Processing |
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What They're Saying
Critics Review
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)
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