DocumentCode :
1513984
Title :
Ontology Extraction for Knowledge Reuse: The e-Learning Perspective
Author :
Gaeta, Matteo ; Orciuoli, Francesco ; Paolozzi, Stefano ; Salerno, Saverio
Author_Institution :
Dipt. di Ing. dell´´Inf. e Mat. Applicata, Univ. of Salerno, Fisciano, Italy
Volume :
41
Issue :
4
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
798
Lastpage :
809
Abstract :
Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been developed. In this paper, we present our approach to extract relevant ontology concepts and their relationships from a knowledge base of heterogeneous text documents. We also show the architecture of the implemented system and discuss the experiments in a real-world context.
Keywords :
Internet; computer aided instruction; knowledge based systems; knowledge management; ontologies (artificial intelligence); text analysis; e-learning; heterogeneous text document; knowledge base; knowledge reuse; ontology extraction; problem solving; shared distributed knowledge management; Computer architecture; Data mining; Humans; Java; Logic gates; Ontologies; Semantics; E-learning; knowledge acquisition; ontology extraction; ontology learning;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2011.2132713
Filename :
5765718
Link To Document :
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