Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Revised5 report on the algorithmic language scheme
ACM SIGPLAN Notices
From Actors to Processes: The Representation of Dynamic Knowledge Using Conceptual Graphs
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
RDF entailment as a graph homomorphism
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Some algorithmic improvements for the containment problem of conjunctive queries with negation
ICDT'07 Proceedings of the 11th international conference on Database Theory
Simple conceptual graphs and simple concept graphs
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Rules dependencies in backward chaining of conceptual graphs rules
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Default Conceptual Graph Rules: Preliminary Results for an Agronomy Application
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
Conceptual Graphs and Datatypes
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
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We propose in this paper an extension of Conceptual Graphs that allows to use datatypes (strings, numbers, ...) for typing concept nodes. Though the model-theoretic semantics of these datatypes is inspired by the work done for RDF/RDFS, keeping sound and complete projection-based algorithms for deduction has led to strong syntactic restrictions (datatyped concept nodes of a target graph cannot be generic). This restriction, however, allows us to smoothly upgrade our extension to rules, and to introduce functional relations (that compute the value of datatyped concept nodes) while keeping sound and complete reasonings.