Kostkova, P;
Diallo, G;
Jawaheer, G;
(2007)
Application of User Profiling on Ontology Module Extraction for Medical portals.
In:
Proceedings of the MedSemWeb 2007.
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Abstract
One fit all for approach for searching and ranking discovered knowledge on the Internet does not cater for the diverse variety of users and user groups with different preferences, information needs and priorities. This is of a particular case in the National electronic Library of Infection in the UK (NeLI, www.neli.org.uk) accessed by a number of medical professionals with different preferences and medical information needs. We define personal and group profiles, based on user-specified interests, and develop an ontology module extraction service defining the key area of the infection ontology of a particular relevance to each user group. In this paper we discuss how ontology modularisation can improve the NeLI portal by providing customised alert, recommender service and specialitycustomised browsing tree structure.
| Type: | Proceedings paper |
|---|---|
| Title: | Application of User Profiling on Ontology Module Extraction for Medical portals |
| Event: | MedSemWeb 2007 Workshop held in conjunction with the MedInfo 2007 |
| Location: | Brisbane, Australia |
| Dates: | 20th-24th August 2007 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://ebooks.iospress.nl/volume/medinfo-2007 |
| 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: | Digital Libraries, Healthcare Ontologies, User Customisation, Personal and Group Profiles, Modularization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices 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/10084398 |
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