Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Concise Representations of Association Rules
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
The Description Logic Handbook
The Description Logic Handbook
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Completing description logic knowledge bases using formal concept analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A proposal for combining formal concept analysis and description logics for mining relational data
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Arbitrary relations in formal concept analysis and logical information systems
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
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We propose an approach for extending domain knowledge represented in DL ontology by using knowledge extraction methods on ontology assertions. Concept and role assertions are extracted from the ontology in the form of assertion graphs, which are used to generate a formal context manipulated by Formal Concept Analysis methods. The resulting expressions are then represented as DL concepts and roles that can be inserted into the initial ontology after validation by the analyst. We show, through a real-world example, how this approach has been successfully used for discovering new knowledge units in a pharmacogenomics ontology.