Add to ORKGAccessing 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 assess-ing the quality of data [1]. The Optique projec
More advanced and complex applications in social networks, gaming, entertainment, medical research, ...
Every day humans generate several petabytes of data [ZEd+11] from a variety of sources such as orbit...
Le Big Data est caractérisé dans la littérature par quatre « V » (Volumétrie, Vélocité, Variété et V...
Despite the dramatic growth of data accumulated by enterprises, obtaining value out of it is extreme...
The recently started EU FP7-funded project Optique will develop an end-to-end OBDA system providing ...
Abstract. Ontology-Based Data Access (OBDA) is an approach to query rela-tional data via a unified s...
The Optique project aims at developing an end-to-end system for semantic data access to Big Data in ...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
Ontology Based Data Access (OBDA) is a recently proposed prominent approach that aims at providing d...
The convergence of Internet of Things (IoT), Cloud, and Big Data, creates new challenges and opportu...
IEEE Member Abstract-- The mushrooming of data in companies about their clients, vendors, and operat...
International audienceOften gathered under the term of Big Data (Ollion, Boelaert 2015), the Open Da...
Big Data can revolutionize humanity. Hidden within the huge amounts and variety of the data we are ...
Since the beginning of the information age in the last century, the size of the data collected and s...
Big Data has been created from virtually everything around us at all times. Every digital media inte...
More advanced and complex applications in social networks, gaming, entertainment, medical research, ...
Every day humans generate several petabytes of data [ZEd+11] from a variety of sources such as orbit...
Le Big Data est caractérisé dans la littérature par quatre « V » (Volumétrie, Vélocité, Variété et V...
Despite the dramatic growth of data accumulated by enterprises, obtaining value out of it is extreme...
The recently started EU FP7-funded project Optique will develop an end-to-end OBDA system providing ...
Abstract. Ontology-Based Data Access (OBDA) is an approach to query rela-tional data via a unified s...
The Optique project aims at developing an end-to-end system for semantic data access to Big Data in ...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
Ontology Based Data Access (OBDA) is a recently proposed prominent approach that aims at providing d...
The convergence of Internet of Things (IoT), Cloud, and Big Data, creates new challenges and opportu...
IEEE Member Abstract-- The mushrooming of data in companies about their clients, vendors, and operat...
International audienceOften gathered under the term of Big Data (Ollion, Boelaert 2015), the Open Da...
Big Data can revolutionize humanity. Hidden within the huge amounts and variety of the data we are ...
Since the beginning of the information age in the last century, the size of the data collected and s...
Big Data has been created from virtually everything around us at all times. Every digital media inte...
More advanced and complex applications in social networks, gaming, entertainment, medical research, ...
Every day humans generate several petabytes of data [ZEd+11] from a variety of sources such as orbit...
Le Big Data est caractérisé dans la littérature par quatre « V » (Volumétrie, Vélocité, Variété et V...