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Parallelised ABox Reasoning and Query Answering with Expressive Description Logics

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The Semantic Web (ESWC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12731))

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Abstract

Automated reasoning support is an important aspect of logic-based knowledge representation. The development of specialised procedures and sophisticated optimisation techniques significantly improved the performance even for complex reasoning tasks such as conjunctive query answering. Reasoning and query answering over knowledge bases with a large number of facts and expressive schemata remains, however, challenging.

We propose a novel approach where the reasoning over assertional knowledge is split into small, similarly sized work packages to enable a parallelised processing with tableau algorithms, which are dominantly used for reasoning with more expressive Description Logics. To retain completeness in the presence of expressive schemata, we propose a specifically designed cache that allows for controlling and synchronising the interaction between the constructed partial models. We further report on encouraging performance improvements for the implementation of the techniques in the tableau-based reasoning system Konclude.

A. Steigmiller—Funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) in project number 330492673.

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Notes

  1. 1.

    Source code, evaluation data, all results, and a Docker image (koncludeeval/parqa) are available at online, e.g., at https://zenodo.org/record/4606566.

  2. 2.

    We evaluated query answering on a sample (denoted with Uniprot\(_{40}\)) since the full Uniprot ontology (Uniprot\(_{100}\)) is inconsistent and, hence, not interesting for evaluating query answering.

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Authors and Affiliations

  1. Ulm University, Ulm, Germany

    Andreas Steigmiller & Birte Glimm

Authors
  1. Andreas Steigmiller
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  2. Birte Glimm
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Corresponding author

Correspondence to Andreas Steigmiller .

Editor information

Editors and Affiliations

  1. Ghent University, Ghent, Belgium

    Ruben Verborgh

  2. Aalborg University, Aalborg, Denmark

    Katja Hose

  3. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  4. ERCIM, Sophia Antipolis, France

    Pierre-Antoine Champin

  5. University of Siegen, Siegen, Germany

    Maria Maleshkova

  6. Universidad Politécnica de Madrid, Boadilla del Monte, Spain

    Oscar Corcho

  7. eBay Inc., San Jose, CA, USA

    Petar Ristoski

  8. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

    Mehwish Alam

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Steigmiller, A., Glimm, B. (2021). Parallelised ABox Reasoning and Query Answering with Expressive Description Logics. In: Verborgh, R., et al. The Semantic Web. ESWC 2021. Lecture Notes in Computer Science(), vol 12731. Springer, Cham. https://doi.org/10.1007/978-3-030-77385-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-77385-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77384-7

  • Online ISBN: 978-3-030-77385-4

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