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Publication
Automatic cataloguing of Web resources on a personalized taxonomy
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Advisor(s)
Abstract(s)
Information overload is a major concerns retrieval systems face. Information is
ubiquitous, available from many distinct sources and the main issue is to get just the right piece of
information that might satisfy our specific needs. Many of these sources organize their
informational resources on a given ontology. However, these ontologies are static and do not allow
for personalization. This fact degrades the value of the service if there is no easy mental mapping
between user specific needs and the general source ontology. Organizing informational resources
according to particular needs might increase users’ satisfaction and save their time. In this paper we
present a methodology to filter and organize informational resources according to users’ interests,
thus granting users with a personalized edition of the resource, especially tailored towards their
specific needs. We believe that this methodology may be applied in educational scenarios, where
we have a repository of educational objects that are organized according to specific objectives,
automatically producing specific courseware. Our experimental results confirm that it is possible to
automatically personalize document resources with high precision at a reduced editor workload.
Description
Keywords
Citation
Escudeiro, P., & Bidarra, J. (2008). Automatic cataloguing of Web resources on a personalized taxonomy. Comunicação publicada nas atas da E-Learn 2008 - World Conference on E-learning in Corporate, Government, Healthcare, and Higher Education, Las Vegas, Nevada, USA, novembro de 2008.