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. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Kostkova, P., Diallo, G., & Jawaheer, G. (2008). User profiling for semantic browsing in medical digital libraries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5021 LNCS, pp. 827–831). https://doi.org/10.1007/978-3-540-68234-9_67
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