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Application of User Profiling on Ontology Module Extraction for Medical portals

Kostkova, Patty; Diallo, Gayo; Jawaheer, Gawesh; (2007) Application of User Profiling on Ontology Module Extraction for Medical portals. In: Proceedings of the MedSemWeb 2007. : Brisbane, Australia. Green open access

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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
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/10119203

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