The description logic handbook
DL-Lite: tractable description logics for ontologies
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Conjunctive query answering for the description logic SHIQ
Journal of Artificial Intelligence Research
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Conjunctive query answering in the description logic EL using a relational database system
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Conjunctive queries for a tractable fragment of OWL 1.1
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Logical difference computation with CEX2.5
IJCAR'12 Proceedings of the 6th international joint conference on Automated Reasoning
Query-Driven Procedures for Hybrid MKNF Knowledge Bases
ACM Transactions on Computational Logic (TOCL)
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Conjunctive query answering for $\mathcal{EL}^{++}$ ontologies has recently drawn much attention, as the Description Logic $\mathcal{EL}^{++}$ captures the expressivity of many large ontologies in the biomedical domain and is the foundation for the OWL 2 EL profile. In this paper, we propose a practical approach for conjunctive query answering in a fragment of $\mathcal{EL}^{++}$, namely acyclic $\mathcal{EL}^+$, that supports role inclusions. This approach can be implemented with low cost by leveraging any existing relational database management system to do the ABox data completion and query answering. We conducted a preliminary experiment to evaluate our approach using a large clinical data set and show our approach is practical.