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Tractable Feature Generation Through Description Logics with Value and Number Restrictions

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Advances in Applied Artificial Intelligence (IEA/AIE 2006)

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.

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© 2006 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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