Knowledge acquisition by methods of formal concept analysis
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
Attribute exploration with background knowledge
Theoretical Computer Science
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
On Databases with Incomplete Information
Journal of the ACM (JACM)
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
On relational algebra with marked nulls preliminary version
PODS '84 Proceedings of the 3rd ACM SIGACT-SIGMOD symposium on Principles of database systems
Information Gaps as Communication Needs: A New SemanticFoundation for Some Non-Classical Logics
Journal of Logic, Language and Information
Concept Exploration - A Tool for Creating and Exploring Conceptual Hierarchies
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
On the Treatment of Incomplete Knowledge in Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Modal Logic for Evaluating Formulas in Incomplete Contexts
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Theory of Relational Databases
Theory of Relational Databases
Usability Issues in Description Logic Knowledge Base Completion
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Interval-Valued Fuzzy Formal Concept Analysis
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Completing description logic knowledge bases using formal concept analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Possibility theory and formal concept analysis: context decomposition and uncertainty handling
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
On the isomorphism problem of concept algebras
Annals of Mathematics and Artificial Intelligence
Logics for information systems and their dynamic extensions
ACM Transactions on Computational Logic (TOCL)
Exploring semantics in activity recognition using context lattices
Journal of Ambient Intelligence and Smart Environments
Negation, opposition, and possibility in logical concept analysis
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
An update logic for information systems
International Journal of Approximate Reasoning
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Whenever human knowledge is considered, one has to take into account that such knowledge may be incomplete. Since Formal Concept Analysis (FCA for short) deals with the representation and investigation of such knowledge which can be connected to data tables – in FCA these are represented as formal one- or many-valued contexts –, it seems to be useful to have ways of representing (and dealing with) situations, where one knows about the incompleteness of parts of the represented knowledge. In this note we try to give a survey of what has been done so far in connection with the treatment of incomplete knowledge in FCA. In particular, we shall compare different algorithms developed so far in connection with the knowledge acquisition tool of “attribute exploration”, which also treat incomplete knowledge – cf. in particular [B91], [G99] and [H01]. Moreover, at the end, different treatments of incomplete knowledge in many-valued contexts and databases are discussed.