Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Classification-Based Problem-Solving in Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Retrieving Cases in Structured Domains by Using Goal Dependencies
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
CBROnto: A Task/Method Ontology for CBR
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Text adaptation using formal concept analysis
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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In previous papers [5, 4] we have proved the usefulness of Formal Concept Analysis (FCA) as an inductive technique that elicits knowledge embedded in a case library. The dependency knowledge implicitly contained in the case base is captured during the FCA process in the form of dependence rules among the attributes describing the cases. A substitution-based adaptation process is proposed that profits from these dependence rules since substituting an attribute may require to substitute dependant attributes. Dependence rules will guide an interactive query formulation process which favors retrieving cases where successful adaptations can be accomplished. In this paper we exemplify the use of FCA to help query formulation in an application to generate Spanish poetry versions of texts provided by the user.