Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Analogy as a constrained partial correspondence over conceptual graphs
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Learning and reasoning by analogy
Communications of the ACM
Knowledge Representation and Metaphor
Knowledge Representation and Metaphor
Towards Correspondence between Conceptual Graphs and Description Logics
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
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The first part of this paper presents a logico-algebraic reconstruction of conceptual graph fundamentals using an appropriately extended binary relation algebra. The algebraisation comprises axioms which in a straightforvifard and instructive fashion admit deductive reasoning by term rewriting. As an application of the described logicoalgebraic framework, the second part of the paper addresses formalisation of analogical reasoning. It is suggested that analogical reasoning be carried out as clausal resolution inference using axioms of the binary relation algebra together with the apphcation specific axioms corresponding to the domains under consideration. This makes the analogical reasoning amenable to implementation in logic programming languages.