Abstract
The structure of a knowledge representation language depends critically on its ultimate goal. For conceptual graphs, the goal is a system of logic that can express the propositional content of sentences in natural language in as simple and direct a manner as possible. Since there are still many unsolved problems in semantics, the system of conceptual graphs must continue to evolve to accommodate new research. But the central core of the system is stable, and new features have fit into place in a smooth way. This chapter discusses the main features of conceptual graphs, their use in semantics, and their relationship to the predicate calculus. For most sentences in ordinary language, the mapping to conceptual graphs is shorter, simpler, and more direct than the mapping to predicate calculus. For some aspects of language, especially context dependencies, predicate calculus has no way to represent them, but conceptual graphs can represent them in a principled way.
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