A Semantic Approach to Polystores

Evgeny Kharlamov, Theofilos P. Mailis, Konstantina Bereta, Dimitris Bilidas, Sebastian Brandt, Ernesto Jiménez-Ruiz, Steffen Lamparter, Christian Neuenstadt, Özgür L. Özçep, Ahmet Soylu, Christoforos Svingos, Guohui Xiao, Dmitriy Zheleznyakov, Diego Calvanese, Ian Horrocks, Martin Giese, Yannis E. Ioannidis, Yannis Kotidis, Ralf Möller, and Arild Waaler

Proc. of the 4th IEEE Int. Conf. on Big Data (BigData 2016). 2016.

In the database community Polystores is an emerging and promising approach for data federation that aims at designing a unified querying layer over multiple data models. In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios. In this paper we discuss a semantic approach to building polystores using the OBDA paradigm. We also present our system Optique that is utilized in an industrial application of performing turbine diagnostics in Siemens.

@inproceedings{BigData-2016,
   title = "A Semantic Approach to Polystores",
   year = "2016",
   author = "Evgeny Kharlamov and Theofilos P. Mailis and Konstantina
Bereta and Dimitris Bilidas and Sebastian Brandt and Ernesto
Jiménez-Ruiz and Steffen Lamparter and Christian Neuenstadt and
Özgür L. Özçep and Ahmet Soylu and Christoforos Svingos
and Guohui Xiao and Dmitriy Zheleznyakov and Diego Calvanese and Ian
Horrocks and Martin Giese and Yannis E. Ioannidis and Yannis Kotidis and
Ralf Möller and Arild Waaler",
   booktitle = "Proc. of the 4th IEEE Int. Conf. on Big Data (BigData 2016)",
   pages = "2565--2573",
   doi = "10.1109/BigData.2016.7840898",
}

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