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User profiling for semantic browsing in medical digital libraries

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. Green open access

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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.ucl.ac.uk/id/eprint/10084397
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