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Fast ABox Consistency Checking Using Incomplete Reasoning and Caching

  • Christian Meilicke
  • Daniel RuffinelliEmail author
  • Andreas Nolle
  • Heiko Paulheim
  • Heiner Stuckenschmidt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10364)

Abstract

Reasoning with complex ontologies can be a resource-intensive task, which can be an obstacle, e.g., for real-time applications. Hence, weakening the constraints of soundness and/or completeness is often an approach to practical solutions. In this paper, we propose an extension of incomplete reasoning methods for checking the consistency of a large number of ABoxes against a given TBox. In particular, we use and extend the clash queries proposed by Lembo et al. [9] for DL-Lite to compute inconsistent patterns of ABox assertions. By caching instantiations of these patterns, we are able to reduce the amount of reasoning required to determine the inconsistency of an ABox with every previously processed ABox. We present experimental results of our approach in terms of runtime and accuracy and compare it against complete reasoning techniques, the reasoning approach for DL-Lite \(_{\mathcal {A}}\), and an approximate reasoning approach based on machine learning proposed in [15].

Keywords

ABox Assertions Type Clash DBpedia Single ABox Inconsistent Combinations 
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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Christian Meilicke
    • 1
  • Daniel Ruffinelli
    • 1
    Email author
  • Andreas Nolle
    • 2
  • Heiko Paulheim
    • 1
  • Heiner Stuckenschmidt
    • 1
  1. 1.Research Group Data and Web ScienceUniversity of MannheimMannheimGermany
  2. 2.Data Science, Department of Business and Computer ScienceAlbstadt-Sigmaringen UniversityAlbstadtGermany

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