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This paper deals with the topic of user profiling for semantic browsing in medical digital libraries. The paper shares how through group profiling semantic browsing can be customized by integrating distributed knowledge sources. The service is evaluated by web server logs analysis, dynamically enhancing the profiles and by qualitative feedback from real users of the NeLI portal. The paper also shows how NeLI can be semantically integrated with other medical portals. NeLI has become a single most accessible source to get best available evidence around all aspects of infection. This electronic library is being currently used by more than 15 000 real-world medical professionals a month. These users include members of the public, General Practitioners (GPs), nurses, Consultants Communicable Disease Control (CCDCs) to senior Primary Care Trust executives. NeLI has been gathering user and group profiles providing contextual information essential for support of customized services.
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