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Details of Grant 

EPSRC Reference: GR/T29352/01
Title: Real-Time Text Mining For The Biomedical Literature: A Collaboration Between DiscoveryNet and myGrid
Principal Investigator: Guo, Professor Y
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Dept of Computing
Organisation: Imperial College London
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2004 Ends: 30 September 2005 Value (£): 76,764
EPSRC Research Topic Classifications:
Artificial Intelligence Comput./Corpus Linguistics
Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
GR/T29369/01
Panel History:  
Summary on Grant Application Form
The aim of this focused project proposal is to develop a unified real-time e-Science text-mining infrastructure that leverages the technologies and methods developed by both the Discovery Net and myGrid pilot projects. Both projects have already developed complimentary methods that enable the analysis and mining of information extracted from biomedical text data sources using grid infrastructures, with myGrid developing methods based on linguistic analysis and DiscoveryNet developing methods based on data mining and statistical analysis.In this project we aim to jointly develop a common inter-operability framework between the tools and methods developed within both projects. Whereas existing grid technologies and e-science application integration effort provide generic low level inter-operability framework, our effort in this project will be dedicated to providing high-level integration methods specific to the access, integration and composition of grid-based text mining services. To achieve our goals we will develop a common grid-based text mining framework (data model, meta-data model and API) based on our shared expertise.We will drive our efforts and demonstrate their success through both the use of case studies from our existing end user biologists who use text mining, and through the development of a new gene ontology annotation tool that will be provided as an executable service to the UK e-Sicence community.
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Organisation Website: http://www.imperial.ac.uk