Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing

Carroll, John, Evans, Roger and Klein, Ewan (2005) Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing. In: Workshop on Text Mining, e-Research And Grid-enabled Language Technology at the Fourth UK e-Science Programme All Hands Meeting (AHM2005), Nottingham, UK. 19-22 Sep 2005.

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Abstract

Over the last few years, language technology has moved rapidly from 'applied research' to 'engineering', and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large-scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid - the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.

Item Type: Conference or Workshop Item (Paper)
Additional Information: From SRO
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: John Carroll
Date Deposited: 06 Feb 2012 20:32
Last Modified: 12 Apr 2012 10:49
URI: http://sro.sussex.ac.uk/id/eprint/26521
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