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Downward refinement in the ALN description logic

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5 Author(s)
Fanizzi, N. ; Dipt. di Informatica, Universita degli Studi di Bari, Italy ; Ferilli, S. ; Iannone, L. ; Palmisano, I.
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We focus on the problem of specialization in a description logics (DL) representation, specifically the ALN language. Standard approaches to learning in these representations are based on bottom-up algorithms that employ the lcs operator, which, in turn, produces overly specific (overfitting,) and still redundant concept definitions. In the dual (top-down) perspective, this issue can be tackled by means of an ILP downward operator. Indeed, using a mapping from DL descriptions onto a clausal representation, we define a specialization operator computing maximal specializations of a concept description on the grounds of the available positive and negative examples.

Published in:

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Date of Conference:

5-8 Dec. 2004

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