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Information Retrieval System
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Leyla Zhuhadar
Metadata as seeds for building an ontology driven information
retrieval system
Authors: Leyla Zhuhadar Knowledge Discovery and Web Mining Lab,
Department of
Computer Engineering and Computer Science, University of
Louisville, KY 40292, USA
Olfa Nasraoui Knowledge Discovery and Web Mining Lab, Department
of
Computer Engineering and Computer Science, University of
Louisville, KY 40292, USA
Robert Wyatt Office of Distance Learning, Division of Extended
Learning and
Outreach, Western Kentucky University, KY 42101, USA
Elizabeth RomeroOffice of Distance Learning, Division of
Extended Learning and
Outreach, Western Kentucky University, KY 42101, USA
2009 Article
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Published in:
Journal
International Journal of Hybrid Intelligent Systems archive
Volume 6 Issue 3, August 2009
Pages 169-186
IOS PressAmsterdam, The Netherlands, The Netherlandstable of
contents
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Tags: e-learninginformation
retrievalknowledge engineering
ontologysemantic web
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This paper presents an approach for an automated discovery,
categorization and retrieval of metadata enriched E-learning
resources. This
research has further been implemented on a real platform
"HyperManyMedia" at Western Kentucky University. It also presents
the
contribution that this work has made to the Adaptive Hypermedia
systems. The main research question guiding this work is whether it
is
feasible and benecial to add the metadata to learning resources,
while still being able to retrieve learning resources that are
satisfactory and
effective for the learner. The main goals of our HyperManyMedia
system as implementation based on the suggested architecture, are
to: (1)
provide the learner with metadata search engine to overcome the
limitations of searching for learning objects, and (2) be an open
source
repository for online learning.
etadata as seeds for building an ontology driven information
retr... http://dl.acm.org/citation.cfm?id=1735969
of 2 8/28/14, 10:43 PM
