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Download Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs (Advanced Information and Knowledge Processing) fb2, epub

by Marie-Laure Mugnier,Michel Chein

Download Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs (Advanced Information and Knowledge Processing) fb2, epub

ISBN: 1848002858
Author: Marie-Laure Mugnier,Michel Chein
Language: English
Publisher: Springer; 2009 edition (October 8, 2008)
Pages: 428
Category: Computer Science
Subcategory: IT
Rating: 4.3
Votes: 253
Size Fb2: 1124 kb
Size ePub: 1137 kb
Size Djvu: 1794 kb
Other formats: mbr docx lrf txt


This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties. Knowledge can be symbolically represented in many ways, and the authors have chosen labeled graphs for their modeling and computational qualities. Key features of the formalism presented can be summarized as follows:, all kinds of knowledge (ontology, facts, rules, constraints) are labeled graphs, which provide an intuitive and easily understandable means to represent knowledge

Michel Chein, Marie-Laure Mugnier.

Michel Chein, Marie-Laure Mugnier. Download (pdf, . 5 Mb) Donate Read. Epub FB2 mobi txt RTF.

Advanced Information and Knowledge Processing. This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties

Advanced Information and Knowledge Processing. Graph-based Knowledge Representation. Computational Foundations of Conceptual Graphs. Authors: Chein, Michel, Mugnier, Marie-Laure. This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties. Key features of the formalism presented can be summarized as follows

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Graph-Based Knowledge Representation book. Start by marking Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs as Want to Read: Want to Read savin. ant to Read.

oceedings{R, title {Graph-based . Michel Chein, Marie-Laure Mugnier Modeling Data, Information and Knowledge for Security Protection o. .

oceedings{R, title {Graph-based Knowledge Representation - Computational Foundations of Conceptual Graphs}, author {Michel Chein and Marie-Laure Mugnier}, booktitle {Advanced Information and Knowledge Processing}, year {2008} }. Michel Chein, Marie-Laure Mugnier. This book addresses the question of how far it is possible to go in knowledge representation and reasoning by representing knowledge with graphs (in the graph theory sense) and reasoning with graph operations. Modeling Data, Information and Knowledge for Security Protection of Hybrid IoT and Edge Resources.

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial . Series: Advanced Information and Knowledge Processing.

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties.

A conceptual graph (CG) is a formalism for knowledge representation. In the first published paper on CGs, John F. Sowa (Sowa 1976) used them to represent the conceptual schemas used in database systems. The first book on CGs (Sowa 1984) applied them to a wide range of topics in artificial intelligence, computer science, and cognitive science. File: PDF, . 7 MB. Читать онлайн.

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties

This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties.

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.

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