Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Conjunctive-query containment and constraint satisfaction
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Modelling and Simulating Human Behaviours with Conceptual Graphs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Knowledge Representation and Reasonings Based on Graph Homomorphism
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Automatic Construction and Refinement of a Class Hierarchy over Multi-valued Data
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
The MIEL system: Uniform interrogation of structured and weakly-structured imprecise data
Journal of Intelligent Information Systems
A survey of formal concept analysis support for software engineering activities
Formal Concept Analysis
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
An iterative approach to build relevant ontology-aware data-driven models
Information Sciences: an International Journal
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This work takes place in the general context of the construction and validation of a domain expertise. It aims at the cooperation of two kinds of knowledge, heterogeneous by their granularity levels and their formalisms: expert statements represented in the conceptual graph model and experimental data represented in the relational model. We propose to automate two stages: firstly, the generation of an ontology (terminological part of the conceptual graph model) guided both by the relational schema and by the data it contains; secondly, the evaluation of the validity of the expert statements within the experimental data, using annotated conceptual graph patterns.