On Rewriting and Answering Queries in OBDA Systems for Big Data

Diego Calvanese, Ian Horrocks, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Michael Meier, Mariano Rodriguez-Muro, and Dmitriy Zheleznyakov

Proc. of the 10th Int. Workshop on OWL: Experiences and Directions (OWLED 2013). Volume 1080 of CEUR Workshop Proceedings, http://ceur-ws.org/. 2013.

The project Optique aims at providing an end-to-end solution for scalable access to Big Data integration, were end users will formulate queries based on a familiar conceptualization of the underlying domain. From the users queries the Optique platform will automatically generate appropriate queries over the underlying integrated data, optimize and execute them. In this paper we discuss Optique's automatic generation of queries and two systems to support this process: Quest and Pegasus The automatic query generation is important and challenging, especially when the queries are over heterogeneous distributed databases and streams, and Optique will provide a scalable solution for it.


@inproceedings{OWLED-2013-rewriting,
   title = "On Rewriting and Answering Queries in OBDA Systems for Big
Data",
   year = "2013",
   author = "Diego Calvanese and Ian Horrocks and Ernesto
Jiménez-Ruiz and Evgeny Kharlamov and Michael Meier and Mariano
Rodriguez-Muro and Dmitriy Zheleznyakov",
   booktitle = "Proc. of the 10th Int. Workshop on OWL: Experiences and
Directions (OWLED 2013)",
   volume = "1080",
   series = "CEUR Workshop Proceedings, http://ceur-ws.org/",
}
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