**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

Graph-Based Knowledge Representation book. Goodreads helps you keep track of books you want to read.

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.