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ExpTime Tableaux Algorithm for Contextualized \(\mathcal{ALC}\)

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8175)

Abstract

Contextualized Knowledge Repository (CKR) is a DL-based framework for representation and reasoning with context dependent knowledge. It addresses the widely recognized need for contextualization of the Semantic Web data sources. Reasoning with CKR is possible thanks to a reduction to standard DL, and more recently a NExpTime tableaux algorithm was introduced for \(\mathcal{ALC}\)-based CKR. In this paper we present an ExpTime tableaux algorithm for \(\mathcal{ALC}\)-based CKR. The algorithm not only formally defines a tableaux decision procedure with optimal complexity, it is also presented in a form that can be effectively applied in practice employing a suitable rule application strategy together with node caching.

Keywords

  • Description Logic
  • Node Label
  • Negation Normal Form
  • Winner Team
  • Tableau Algorithm

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bozzato, L., Homola, M., Serafini, L. (2013). ExpTime Tableaux Algorithm for Contextualized \(\mathcal{ALC}\) . In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_15

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  • DOI: https://doi.org/10.1007/978-3-642-40972-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40971-4

  • Online ISBN: 978-3-642-40972-1

  • eBook Packages: Computer ScienceComputer Science (R0)