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Querying large datasets with incomplete and vague data is still a challenge.Ontology-based query answering extends standard database query answering bybackground knowledge from an ontology to augment incomplete data. We focus onontologies written in rough description logics (DLs), which allow to representvague knowledge by partitioning the domain of discourse into classes ofindiscernible elements.  In this paper, we extend the combined approach for ontology-based queryanswering to a variant of the DL EL augmented with rough concept constructors.We show that this extension preserves the good computational properties ofclassical EL and can be implemented by standard database systems.

Query Answering for Rough EL Ontologies (Extended Technical Report)