Advances in Accessing Big Data with Expressive Ontologies. Möller, R., Neuenstadt, C., Öz̧cep, Ö. L., & Wandelt, S. In Eiter, T., Glimm, B., Kazakov, Y., & Krötzsch, M., editors, Description Logics, volume 1014, of CEUR Workshop Proceedings, pages 842--853, 2013. CEUR-WS.org.
Advances in Accessing Big Data with Expressive Ontologies [pdf]Link  abstract   bibtex   
Ontology-based query answering has to be supported w.r.t. secondary memory and very expressive ontologies to meet practical re-quirements in some applications. Recently, advances for the expressive DL SHI have been made in the dissertation of S. Wandelt for concept-based instance retrieval on Big Data descriptions stored in secondary memory. In this paper we extend this approach by investigating optimization algorithms for answering grounded conjunctive queries

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