Knowledge acquisition by methods of formal concept analysis
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
The complexity of concept languages
Information and Computation
Relational Data Mining
A partition-based approach towards constructing Galois (concept) lattices
Discrete Mathematics
Structural Machine Learning with Galois Lattice and Graphs
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning of Simple Conceptual Graphs from Positive and Negative Examples
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
The Description Logic Handbook
The Description Logic Handbook
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
A proposal for an Interactive Ontology Design Process based on Formal Concept Analysis
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
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
Contingency structures and concept analysis
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
What's happening in semantic web: and what FCA could have to do with it
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Supporting ontology design through large-scale FCA-based ontology restructuring
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Conceptual navigation in RDF graphs with SPARQL-Like queries
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Why and how knowledge discovery can be useful for solving problems with CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Modeling preferences over attribute sets in formal concept analysis
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Relational concept analysis: mining concept lattices from multi-relational data
Annals of Mathematics and Artificial Intelligence
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
A relational approach for information retrieval on XML legal sources
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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Recent advances in data and knowledge engineering have emphasized the need for formal concept analysis (FCA) tools taking into account structured data. There are a few adaptations of the classical FCA methodology for handling contexts holding on complex data formats, e.g. graph-based or relational data. In this paper, relational concept analysis (RCA) is proposed, as an adaptation of FCA for analyzing objects described both by binary and relational attributes. The RCA process takes as input a collection of contexts and of inter-context relations, and yields a set of lattices, one per context, whose concepts are linked by relations. Moreover, a way of representing the concepts and relations extracted with RCA is proposed in the framework of a description logic. The RCA process has been implemented within the Galicia platform, offering new and efficient tools for knowledge and software engineering.