International Journal of Man-Machine Studies
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Dynamic Taxonomies: A Model for Large Information Bases
IEEE Transactions on Knowledge and Data Engineering
A Logical Generalization of Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Generalized Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
A Category-theoretic Account of Program Modules
Category Theory and Computer Science
Pattern Structures and Their Projections
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Introduction to logical information systems
Information Processing and Management: an International Journal
The efficient computation of complete and concise substring scales with suffix trees
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
FCA-based browsing and searching of a collection of images
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Query-based multicontexts for knowledge base browsing: an evaluation
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
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Formal concept analysis is recognized as a good paradigm for browsing data sets. Besides browsing, update and complex data are other important aspects of information systems. To have an efficient implementation of concept-based information systems is difficult because of the diversity of complex data and the computation of conceptual structures, but essential for the scalability to real-world applications. We propose to decompose contexts into simpler and specialized components: logical context functors . We demonstrate this allows for scalable implementations, updatable ontologies, and richer navigation structures, while retaining genericity.