Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs by Chein, Michel pdf - Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs by Chein, Michel link
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Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs by Chein, Michel is a comprehensive book that explores the theoretical foundations and computational aspects of conceptual graphs as a knowledge representation formalism. Conceptual graphs are a graphical knowledge representation language that allows for the representation of knowledge in a structured and formalized manner. The book covers a wide range of topics related to conceptual graphs, including their theoretical underpinnings, their computational properties, and their applications in various domains. The authors provide a thorough overview of the different formalisms and algorithms that can be used to manipulate and reason with conceptual graphs, as well as discussions on the practical issues involved in using conceptual graphs for knowledge representation and reasoning. The book also explores the connections between conceptual graphs and other knowledge representation formalisms, such as semantic networks and formal concept analysis, highlighting the strengths and weaknesses of conceptual graphs in comparison to these other formalisms. Overall, Graph-Based Knowledge Representation: Computational Foundations of Conceptual Graphs is an essential resource for researchers and practitioners in the field of knowledge representation and artificial intelligence, providing a comprehensive understanding of the computational foundations of conceptual graphs and their applications in various domains.
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