Kostkova, P;
Diallo, G;
Jawaheer, G;
(2008)
User profiling for semantic browsing in medical digital libraries.
In: Bechhofer, S and Hauswirth, M and Hoffmann, J and Koubarakis, M, (eds.)
European Semantic Web Conference ESWC 2008: The Semantic Web: Research and Applications.
(pp. pp. 827-831).
Springer, Berlin, Heidelberg: Tenerife, Spain.
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Abstract
Semantic Browsing provides contextualized dynamically generated Web content customizing the knowledge to better meet user expectations. The real-world medical digital library, the National electronic Library of Infection (NeLI, www.neli.org.uk), enriched with an infection domain ontology enables new semantic services to be developed qualitatively. In this paper, we will address the use of group profiling to customize semantic browsing 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.
| Type: | Proceedings paper |
|---|---|
| Title: | User profiling for semantic browsing in medical digital libraries |
| Event: | 5th European Semantic Web Conference |
| Location: | Tenerife, SPAIN |
| Dates: | 01 June 2008 - 01 June 2008 |
| ISBN-13: | 978-3-540-68233-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-540-68234-9_67 |
| Publisher version: | https://doi.org/10.1007/978-3-540-68234-9_67 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10084397 |
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