Scalable end-user access to Big Data is essential for the effective support of critical decision making in large companies. The Optique project aims to develop new techniques and infrastructure that will bring about a paradigm shift for data access by:
and thus reducing the turnaround time for information requests to minutes rather than days.
These objectives will be achieved by bringing together leading researchers and developers from diverse communities — including Knowledge Representation, Databases, and the Semantic Web — to devise new techniques and to implement them in an extensible platform that will provide a complete and generic solution to the data access challenges posed by Big Data.
The platform will:
Development of the platform will be informed by and continuously evaluated against the requirements of complex real-world challenges, with two large European companies providing the project with comprehensive use cases, and access to user groups and TB scale data sets.
Optique project has received funding from the European Union's Seventh Framework Programm for research, technological development and demonstration under grant agreement no 318338.
01 November 2012 to 31 October 2016
Ian Horrocks, Bernardo Cuenca Grau, Boris Motik, Evgeny Kharlamov, Dmitriy Zheleznyakov Ernesto Jimenez-Ruiz
Seventh Framework Programme (FP-7)
Héctor Pérez-Urbina, Boris Motik, and Ian Horrocks.
Tractable Query Answering and Rewriting under Description Logic Constraints
J. of Applied Logic, 8(2):186-209, 2010.
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Boris Motik, Bernardo Cuenca Grau, Ian Horrocks, Zhe Wu, Achille Fokue and Carsten Lutz (eds.).
OWL 2 Web Ontology Language Profiles.
W3C Recommendation, 27 October 2009.
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