2019
DOI: 10.3233/sw-180337
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Ontology-mediated query answering over temporal and inconsistent data

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 ontologymediated query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositi… Show more

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Cited by 8 publications
(7 citation statements)
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References 34 publications
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“…In this context, Borgwardt et al [65,66] study the rewritability properties of LTL-CQs. Bourgaux et al [67] investigate the problem of querying inconsistent data, and Koopmann [68] proposes an extension to probabilistic data.…”
Section: Related Workmentioning
confidence: 99%
“…In this context, Borgwardt et al [65,66] study the rewritability properties of LTL-CQs. Bourgaux et al [67] investigate the problem of querying inconsistent data, and Koopmann [68] proposes an extension to probabilistic data.…”
Section: Related Workmentioning
confidence: 99%
“…This allows to state that elements in the extension of certain names stay in this extension for at least some specified amount of time. Finally, [Bourgaux et al, 2019] addresses the problem of handling inconsistent data in a temporal version of ontologymediated query answering (based on the combination of conjunctive queries with operators of propositional linear temporal logic). Subsequently, the authors work on temporal knowledge bases.…”
Section: Temporal and Spacial Extensions Of Dlsmentioning
confidence: 99%
“…Thost (2015a, 2015b) and Baader, Borgwardt, and Lippmann (2015a) analyse the complexity of answering LTL-CQs for weaker ontology languages such as EL (see below) and DL-Lite, while Thost (2013, 2015) study rewritability of LTL-CQs. Bourgaux, Koopmann, and Turhan (2019) investigate the problem of querying inconsistent data, and Koopmann (2019) proposes an extension to probabilistic data. As the monitoring of systems based on data streams is a major application area for these logics, it is of interest to be able to answer queries without storing the whole ABox; for such results on the query language LTL-CQs, we refer the reader to Borgwardt et al (2015).…”
Section: Related Workmentioning
confidence: 99%