In this paper we present the EU Optique project that aims at developing an end-to-end OBDA system... more In this paper we present the EU Optique project that aims at developing an end-to-end OBDA system for managing Big Data in industries. We discuss limitations of state of the art OBDA systems and present the general architecture of the Optique's OBDA system that aims at overcoming these limitations.
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and... more 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 . 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.
In this paper we present the EU Optique project that aims at developing an end-to-end OBDA system... more In this paper we present the EU Optique project that aims at developing an end-to-end OBDA system for managing Big Data in industries. We discuss limitations of state of the art OBDA systems and present the general architecture of the Optique's OBDA system that aims at overcoming these limitations.
Accessing the relevant data in Big Data scenarios is increasingly difficult both for end-user and... more 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 . 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.
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Papers by T. Nordtveit