Conceptual Graphs for Semantics and Knowledge Processing


70 This paper discusses the representational and algorithmic power of the conceptual graph model for natural language semantics and knowledge processing. Also described is a Prolog-like resolution method for conceptual graphs, which allows one to perform deduction on very large semantic domains. The interpreter that we have developed is similar to a Prolog… (More)
DOI: 10.1147/rd.301.0070


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