FReSH will expose advanced textual analysis services using high performance computing (HPC) to e-Humanities researchers as lightweight shared infrastructure services. HPC is proving to be a useful tool for researchers in the e-Humanities, particularly in document analysis. However, even for users with some technical knowledge it is not easy to set up and use the various middleware developed to support such activities, as in general a considerable degree of specialist technical expertise is involved. There is a pressing need for lightweight mechanisms for delivering HPC services to users. In order to achieve this, we will follow a resource-oriented approach, where the results of our textual analysis algorithms are regarded as resources that contain both processing and data. All services and all processing results will be exposed as ReSTful services that return results in machine readable formats, so that they can easily be integrated in web development environments by users with knowledge of web applications but no specialist expertise in HPC.

Forging Restful Services for e-Humanities - FReSH

Overview

FReSH will expose advanced textual analysis services using high performance computing (HPC) to e-Humanities researchers as lightweight shared infrastructure services. HPC is proving to be a useful tool for researchers in the e-Humanities, particularly in document analysis. However, even for users with some technical knowledge it is not easy to set up and use the various middleware developed to support such activities, as in general a considerable degree of specialist technical expertise is involved. There is a pressing need for lightweight mechanisms for delivering HPC services to users. In order to achieve this, we will follow a resource-oriented approach, where the results of our textual analysis algorithms are regarded as resources that contain both processing and data. All services and all processing results will be exposed as ReSTful services that return results in machine readable formats, so that they can easily be integrated in web development environments by users with knowledge of web applications but no specialist expertise in HPC.

Lead Institution

  • King's College London

 

Project Staff

Project Manager

 

Summary
Start date
1 June 2009
End date
30 November 2009
Funding programme
Information Environment Programme 2009-11
Strand
Rapid innovation strand
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