Abstract
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and IT-experts, due to the volume, variety, and velocity dimensions of Big Data.This brings a hight cost overhead in data access for large enterprises. For instance, in the oil and gas industry, IT-experts spend 30-70% of their time gathering and assessing the quality of data [1]. The Optique project ( http://www.optique-project.eu/ ) advocates a next generation of the well known Ontology-Based Data Access (OBDA) approach to address the Big Data dimensions and in particular the data access problem. The project aims at solutions that reduce the cost of data access dramatically.
This research was financed by the Optique project with the grant agreement FP7-318338.
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References
Crompton, J.: Keynote talk at the W3C Workshop on Sem. Web in Oil & Gas Industry (2008), http://www.w3.org/2008/12/ogws-slides/Crompton.pdf
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Calvanese, D. et al. (2013). Optique: OBDA Solution for Big Data. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds) The Semantic Web: ESWC 2013 Satellite Events. ESWC 2013. Lecture Notes in Computer Science, vol 7955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41242-4_48
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DOI: https://doi.org/10.1007/978-3-642-41242-4_48
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