Barnes & Noble Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings at Hamilton Place in Chattanooga, TN
Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings
Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings in Chattanooga, TN
Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings in Chattanooga, TN
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.
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