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Conference Papers Year : 2017

Temporal Query Answering in DL-Lite over Inconsistent Data


In ontology-based systems that process data stemming from different sources and that is received over time, as in context-aware systems, 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-based query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositional linear temporal logic and extend to this setting three inconsistency-tolerant semantics that have been introduced for querying inconsistent description logic knowledge bases. We investigate their complexity for DL-LiteR temporal knowledge bases, and furthermore complete the picture for the consistent case.
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hal-02053254 , version 1 (01-03-2019)


  • HAL Id : hal-02053254 , version 1


Camille Bourgaux, Anni-Yasmin Turhan. Temporal Query Answering in DL-Lite over Inconsistent Data. The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Oct 2017, Vienna, Austria. ⟨hal-02053254⟩
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