ADMIRE Work Programme


ADMIRE is pioneering architectures and models that will deliver a coherent, extensible and flexible framework to facilitate much better use of a wide range of heterogeneous distributed data resources. ADMIRE will deliver an integrated approach to enable fluent exploration and exploitation of data. That integration encompasses the full path of actions from accessing the source data to delivering derived results. That path includes gaining permission to access data, extracting selected subsets of data, cleaning and transforming data, performing analyses and preparing results in the form required by their destination. As the multiple sources of data encode and organise information in different ways a significant element is data integration, which includes conversions at both syntactic and semantic levels in order to enable data composition. ADMIRE uses the term Data Mining and Integration (DMI) to refer to all aspects of this full path of exploration and exploitation.

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ADMIRE Workpackages

WP1 DMI Model & Language Research
Development of a new conceptual model for distributed data mining and data integration, supported by rich ontology-driven semantic description and a new data intensive systems process engineering language (DISPEL).
WP2 Architecture
Development of a new architecture to support distributed data intensive systems, including semantic registries, DISPEL enactment Gateways and automatic execution optimisation strategies.
WP3 Test, Release & Support
Test and deployment of emerging ADMIRE software for both user tools and a wide-area distributed execution Platform.
WP4 Service Infrastructure
Development of core supporting services, both generic and DMI-specific, as part of the emerging ADMIRE execution Platform.
WP5 Tools
Development of powerful user tools for driving DMI explorations through ADMIRE Gateways. ADMIRE tools will be based on the eclipse platform.
WP6 Applications & Evaluation
Demonstration and evaluation of ADMIRE's model, language, architecture and tools through real-world application scenarios.

...making data mining easier