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Conceptual Graphs for Knowledge Representation - First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings (Paperback, 1993 ed.)
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Conceptual Graphs for Knowledge Representation - First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings (Paperback, 1993 ed.)
Series: Lecture Notes in Artificial Intelligence, 699
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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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