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Libraries are the tools we use to learn and to answer our questions. The quality of our work depends, among others, on the quality of the tools we use.
Recent research in digital libraries is focused, on one hand on improving the infrastructure of the digital library management systems (DLMS), and on the other on improving the metadata models used to annotate collections of objects maintained by DLMS.
The latter includes, among others, the semantic web and social networking technologies.
Recently, the semantic web and social networking technologies are being introduced to the digital libraries. The expected outcome is that the overall quality of information discovery in digital libraries can be improved by employing social and semantic technologies.
In this report we present the results of an evaluation of social and semantic end-user information discovery services.
We analyze the quality of answers provided by the users of two digital library systems; one with and one without enhanced information discovery features. We measure the accuracy with, e.g., precision and recall metrics, of the references listed by the participants. Finally, we analyze various users satisfaction measures.
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detailed report |
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pages 1-49 |
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Additional description:
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date:
March 6th, 2008
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projectName:
eLITE, Lion, JeromeDL
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deliverableCode:
1.1.12
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(C) Copyright 2003-2006 by Digital Enterprise Research Institute (DERI) and WETI & Main Library Gdansk University of Technology, Poland and Sebastian Ryszard Kruk.
All rights reserved
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