Visual Ontology-Based Information Retrieval System

The semantic Web has been evolved as a key technology, bringing new insights and solutions to well documented problems in e-learning. The research field of semantic e-learning covers a wide range of research problems. In this paper, we present an approach to visualize an ontology driven information...

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Bibliographic Details
Published in2009 13th International Conference Information Visualisation pp. 419 - 426
Main Authors Zhuhadar, L., Nasraoui, O., Wyatt, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Educational institutions
Electronic learning
Information retrieval
Knowledge engineering
Navigation
Ontologies
ontology
Search engines
Semantic Web
Taxonomy
Visualization
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Summary:The semantic Web has been evolved as a key technology, bringing new insights and solutions to well documented problems in e-learning. The research field of semantic e-learning covers a wide range of research problems. In this paper, we present an approach to visualize an ontology driven information retrieval system in the context of E-learning. This approach has been implemented on the HyperManyMedia platform, and is already being used by online students at WKU. The design of this work is based on the following steps: (1) presenting the HyperManyMedia domain as a tree consisting of concepts and subconcepts where the leaves are the documents (lectures), (2) embedding Nutch search engine into the platform, (3) reconfiguring Nutch search engine to accommodate the semantic search, (4) using Prefuse as a visual tool to present the ontology as a graph, and (5) embedding the graph into the platform as an applet so that learners can navigate visually through the ontology of the domain by clicking on nodes.
ISBN:9780769537337
0769537332
ISSN:1550-6037
2375-0138
DOI:10.1109/IV.2009.47