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A Practical Acyclicity Notion for Query Answering Over Horn-\(\mathcal {SRIQ}\) Ontologies

  • David CarralEmail author
  • Cristina Feier
  • Pascal Hitzler
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9981)

Abstract

Conjunctive query answering over expressive Horn Description Logic ontologies is a relevant and challenging problem which, in some cases, can be addressed by application of the chase algorithm. In this paper, we define a novel acyclicity notion which provides a sufficient condition for termination of the restricted chase over Horn- \(\mathcal {SRIQ}\) TBoxes. We show that this notion generalizes most of the existing acyclicity conditions (both theoretically and empirically). Furthermore, this new acyclicity notion gives rise to a very efficient reasoning procedure. We provide evidence for this by providing a materialization based reasoner for acyclic ontologies which outperforms other state-of-the-art systems.

Keywords

Chase Algorithm Acyclicity Condition Tuple-generating Dependencies (TGDs) Equality Generating Dependencies (EGDs) Konclude 
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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Notes

Acknowledgements

We wish to thank Bernardo Cuenca Grau for extensive discussions on the subject and valuable feedback. This work was supported by the National Science Foundation under awards 1017255 III: Small: TROn – Tractable Reasoning with Ontologies and 1440202 EarthCube Building Blocks: Collaborative Proposal: GeoLink – Leveraging Semantics and Linked Data for Data Sharing and Discovery in the Geosciences; the ERC grant 647289 and the European Research Council grant CODA 647289.

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© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.DaSe LabWright State UniversityDaytonUSA
  2. 2.Universität BremenBremenGermany

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