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A Short Survey on Inconsistency Handling in Ontology-Mediated Query Answering

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Abstract

This paper provides a concise overview of the literature on inconsistency handling for ontology-mediated query answering, a topic which has grown into an active area of research over the last decade. The focus of this survey is on the case where errors are localized in the data (i.e., the ontology is deemed reliable) and where inconsistency-tolerant semantics are employed with the aim of obtaining meaningful information from inconsistent knowledge bases.

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Notes

  1. The results apply to common DL-Lite dialects, such as DL-Lite\({}_{\mathsf{core}}\), DL-Lite\({}_{\mathcal{R}}\), and DL-Lite\({}_{\mathcal{A}}\), see [13] for details.

  2. In [8], only polynomial data complexity is proven, which we improve to \({\textsf {AC}}^{0}\). It is also not too hard to show that the combined complexity matches classical semantics.

  3. QuID: www.dis.uniroma1.it/~ruzzi/quid/

  4. CQAPri: www.lri.fr/~bourgaux/CQAPri/

  5. SaQAI: www.image.ece.ntua.gr/~etsalap/SaQAI/

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Acknowledgements

The author would like to thank Camille Bourgaux, who was a co-author of the survey chapter [13] and contributed to the running example reproduced here.

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  1. LaBRI, CNRS and Université de Bordeaux, 351 Cours de la Libération, 33405, Talence cedex, France

    Meghyn Bienvenu

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Bienvenu, M. A Short Survey on Inconsistency Handling in Ontology-Mediated Query Answering. Künstl Intell 34, 443–451 (2020). https://doi.org/10.1007/s13218-020-00680-9

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