Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Conceptual Graphs and First-Order Logic
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Conceptual Graphs and Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Knowledge Querying in the Conceptual Graph Model: The RAP Modula (Research Note)
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Simple Concept Graphs: A Logic Approach
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Knowledge Representation and Reasonings Based on Graph Homomorphism
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Extensions of simple conceptual graphs: the complexity of rules and constraints
Journal of Artificial Intelligence Research
A diagrammatic reasoning system for the description logic ALC
Journal of Visual Languages and Computing
A Datatype Extension for Simple Conceptual Graphs and Conceptual Graphs Rules
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
The Advent of Formal Diagrammatic Reasoning Systems
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
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Sowa's Conceptual Graphs and Formal Concept Analysis have been combined into another knowledge representation formalism named Concept Graphs. In this paper, we compare Simple Conceptual Graphs with Simple Concept Graphs, by successively studying their different syntaxes, semantics, and entailment calculus. We show that these graphs are almost identical mathematical objects, have equivalent semantics, and similar inference mechanisms. We highlight the respective benefits of these two graph-based knowledge representation formalisms, and propose to unify them.