Learning Boolean Functions in an Infinite Attribute Space
Machine Learning
The complexity of concept languages
Information and Computation
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Propositionalization approaches to relational data mining
Relational Data Mining
KI '98 Proceedings of the 22nd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Approximating Most Specific Concepts in Description Logics with Existential Restrictions
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Structural Subsumption for cal ALN
Structural Subsumption for cal ALN
Commonality-Based ABox Retrieval
Commonality-Based ABox Retrieval
The Description Logic Handbook
The Description Logic Handbook
Learning with feature description logics
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Computing least common subsumers in description logics
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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In the line of a feature generation paradigm based on relational concept descriptions, we extend the applicability to other languages of the Description Logics family endowed with specific language constructors that do not have a counterpart in the standard relational representations, such as clausal logics. We show that the adoption of an enhanced language does not increase the complexity of feature generation, since the process is still tractable. Moreover this can be considered as a formalization for future employment of even more expressive languages from the Description Logics family.