Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Valiant, L.G.: Robust logics. In: Proceedings of the 31st Annual ACM Symposium on the Theory of Computing, pp. 642–651 (1999)
Kramer, S., Lavrač, N., Džeroski, S.: Propositionalization approaches to relational data mining. In: Džeroski, S., Lavrač, N. (eds.) Relational Data Mining. Springer, Heidelberg (2001)
Cumby, C.M., Roth, D.: Learning with feature description logics. In: Matwin, S., Sammut, C. (eds.) ILP 2002. LNCS (LNAI), vol. 2583, pp. 32–47. Springer, Heidelberg (2003)
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook. Cambridge University Press, Cambridge (2003)
Blum, A.: Learning boolean functions in an infinite attribute space. Machine Learning 9, 373–386 (1992)
Calvanese, D., Lenzerini, M., Nardi, D.: Unifying class-based representation formalisms. Journal of Artificial Intelligence Research 11, 199–240 (1999)
Molitor, R.: Structural subsumption for ALN. Technical Report LTCS-98-03, LuFg Theoretical Computer Science, RWTH Aachen, Germany (1998)
Baader, F., Küsters, R.: Computing the least common subsumer and the most specific concept in the presence of cyclic ALN concept descriptions. In: Herzog, O. (ed.) KI 1998. LNCS, vol. 1504, pp. 129–140. Springer, Heidelberg (1998)
Donini, F.M., Lenzerini, M., Nardi, D., Nutt, W.: The complexity of concept languages. Information and Computation 134, 1–58 (1997)
Küsters, R., Molitor, R.: Approximating most specific concepts in description logics with existential restrictions. In: Baader, F., Brewka, G., Eiter, T. (eds.) KI 2001. LNCS (LNAI), vol. 2174, pp. 33–47. Springer, Heidelberg (2001)
Carleson, A., Cumby, C., Rosen, J., Roth, D.: The SNoW learning architecture. Technical Report UIUCDCS-R-99-2101, CS Dept., University of Illinois at Urbana-Champaign (1999)
Mantay, T.: Commonality-based ABox retrieval. Technical Report FBI-HH-M-291/2000, Department of Computer Science, University of Hamburg, Germany (2000)
Cohen, W.W., Borgida, A., Hirsh, H.: Computing least common subsumers in description logic. In: Proceedings of the 10th National Conference on Artificial Intelligence, AAAI 1992. MIT Press, Cambridge (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fanizzi, N., Iannone, L., Di Mauro, N., Esposito, F. (2006). Tractable Feature Generation Through Description Logics with Value and Number Restrictions. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_68
Download citation
DOI: https://doi.org/10.1007/11779568_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
Online ISBN: 978-3-540-35454-3
eBook Packages: Computer ScienceComputer Science (R0)