Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
International Journal of Man-Machine Studies
The complexity of concept languages
Information and Computation
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Conceptual Graphs and Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Conceptual Structures Represented by Conceptual Graphs and Formal Concept Analysis
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
A Logical Generalization of Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Formalizing Hypotheses with Concepts
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Introduction to logical information systems
Information Processing and Management: an International Journal
Proceedings of the 2006 international workshop on Mining software repositories
Role Assertion Analysis: a proposed method for ontology refinement through assertion learning
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Handling spatial relations in logical concept analysis to explore geographical data
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
Object configuration browsing in relational databases
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Conceptual navigation in RDF graphs with SPARQL-Like queries
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Relational concept analysis: mining concept lattices from multi-relational data
Annals of Mathematics and Artificial Intelligence
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A logical view of formal concept analysis considers attributes of a formal context as unary predicates. In a first part, we propose an augmented definition that handles binary relations between objects. A Galois connection is defined on augmented contexts. It represents concept inheritance as usual, but also relations between concepts. As usual, labeling operators are also defined. In particular, concepts and relations are visible and labeled in a single structure. In a second part, we show how relations can be used for navigating in an augmented concept lattice. This part augments the theory of Logical Information Systems. An implementation is sketched, and first experimental results are presented.