Conceptual Graphs for Knowledge Representation

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.