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Details of Grant 

EPSRC Reference: GR/R92813/01
Title: Investigating the Usefulness of Markup-Based Knowledge Extraction
Principal Investigator: Kruschwitz, Professor U
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computer Sci and Electronic Engineering
Organisation: University of Essex
Scheme: Fast Stream
Starts: 15 June 2003 Ends: 14 September 2004 Value (£): 60,056
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
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Panel History:  
Summary on Grant Application Form
Web search algorithms have matured significantly over the last fore years and a query submitted through a standard search engine like Google usually returns excellent matches. However, there is also a growing number of electronic document collections in companies, universities and other institutions. Such collections typically cover a much smaller domain, but normally theres is no explicit domain model describing the content and relations between documents. As with Web search, finding the right information can be easy, but it can also difficlult to either find any matching document at all or to select the most apporpriate ones from a large set of protential matches. Nevertheless, in these limited domains it is feasible to exploit the documents' markup structure to automatically build a domain model. That model should be able to assist a user by refining the choices the user is offered or can make as he or she searches the document collection. This will appear to the user as a specialized dialogue with the system. The first part of the research will be the development of a dialogue model that applies the domain knowledge. The second part will be the evaluation of such a system to measure its usefulness.
Key Findings
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Potential use in non-academic contexts
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Summary
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Organisation Website: http://www.sx.ac.uk