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Objectives

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Scalable end-user access to Big Data is critical for eff ective data analysis and value creation. Optique will bring about a paradigm shift for data access

  • by providing 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 experts and cutting edge technology from diverse communities to develop an extensible platform that will provide a complete and generic solution to the data access challenges posed by Big Data.

The platform will:

  • 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;
  • Integrate distributed heterogeneous sources, including streams;
  • Exploit massively parallel technologies and holistic optimisations to maximise performance;
  • Include tools to support query formulation and ontology and mapping management;
  • 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.

Experience from the use case deployments will be used to develop high quality tutoring and training resources, and to engage in an aggressive dissemination and exploitation program aimed at achieving the widest possible uptake of Optique technology.

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