Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs
Author:   Michel Chein ,  Marie-Laure Mugnier
Publisher:   Springer London Ltd
Edition:   2009 ed.
ISBN:  

9781848002852


Pages:   428
Publication Date:   21 October 2008
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Our Price $287.76 Quantity:  
Add to Cart

Share |

Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs


Add your own review!

Overview

Full Product Details

Author:   Michel Chein ,  Marie-Laure Mugnier
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2009 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.760kg
ISBN:  

9781848002852


ISBN 10:   1848002858
Pages:   428
Publication Date:   21 October 2008
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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.

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)


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)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now