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Issue title: Special Issue on Stream Reasoning
Guest editors: Daniele Dell Aglio, Thomas Eiter, Fredrik Heintz and Danh Le Phuoc
Article type: Research Article
Authors: Bourgaux, Camillea; * | Koopmann, Patrickb | Turhan, Anni-Yasminb
Affiliations: [a] Laboratoire Traitement et Communication de l’Information, Télécom ParisTech, France. E-mail: camille.bourgaux@ens.fr | [b] Institute of Theoretical Computer Science, Technische Universität Dresden, Germany. E-mails: patrick.koopmann@tu-dresden.de, anni-yasmin.turhan@tu-dresden.de
Correspondence: [*] Corresponding author. E-mail: camille.bourgaux@ens.fr.
Abstract: Stream-based reasoning systems process data stemming from different sources that are received over time. In this kind of applications, reasoning needs to cope with the temporal dimension and should be resilient against inconsistencies in the data. Motivated by such settings, this paper addresses the problem of handling inconsistent data in a temporal version of ontology-mediated query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositional linear temporal logic (LTL), and consider these under three inconsistency-tolerant semantics that have been introduced for querying inconsistent description logic knowledge bases. We investigate their complexity for temporal EL⊥ and DL-LiteR knowledge bases. In particular, we consider two different cases, depending on the presence of negations in the query. Furthermore, we complete the complexity picture for the consistent case. We also provide two approaches toward practical algorithms for inconsistency-tolerant temporal query answering.
Keywords: Temporal query answering, inconsistency-tolerant reasoning, description logics, computational complexity
DOI: 10.3233/SW-180337
Journal: Semantic Web, vol. 10, no. 3, pp. 475-521, 2019
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