Scalable enduser 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:

• using Ontology Based Data Access (OBDA) to provide a semantic end-to-end connection between users and data sources;

• enabling users to rapidly formulate intuitive queries using familiar vocabularies and conceptualisations;

• seamlessly integrating data spread across multiple distributed data sources, including streaming sources;

• exploiting massive parallelism for scalability far beyond traditional RDBMSs;

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: (i) Use an ontology and declarative mappings to capture user conceptualisations and to transform user      queries into complete, correct and highly optimised queries over the data sources; (ii) Integrate distributed heterogeneous      sources, including streams; (iii) Exploit massively parallel technologies and holistic optimisations to maximise performance;      (iv) Include tools to support query formulation and ontology and mapping management; and (v) Use semi-automatic bootstrapping      of ontologies and mappings and query driven ontology construction to minimise installation overhead.

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.