Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993. Proceedings

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.