DL-FOIL Concept Learning in Description Logics
- Cite this paper as:
- Fanizzi N., d’Amato C., Esposito F. (2008) DL-FOIL Concept Learning in Description Logics. In: Železný F., Lavrač N. (eds) Inductive Logic Programming. ILP 2008. Lecture Notes in Computer Science, vol 5194. Springer, Berlin, Heidelberg
In this paper we focus on learning concept descriptions expressed in Description Logics. After stating the learning problem in this context, a FOIL-like algorithm is presented that can be applied to general DL languages, discussing related theoretical aspects of learning with the inherent incompleteness underlying the semantics of this representation. Subsequently we present an experimental evaluation of the implementation of this algorithm performed on some real ontologies in order to empirically assess its performance.
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