Wu Junyun
School of Information and Engineering, Nanchang University, Nanchang, China
Xie Caiyun
Department of Information Science, Nanchang Teachers College, Nanchang, China
ABSTRACT
This study introduces method of concept extraction based on Bootstrapping in Ontology learning. On the basis of the method for concept extraction based on Bootstrapping, it increases the compound words extraction and improves the statistics method of frequency, which can be more scientific to extract the domain concept. At the meanwhile, aiming at the weakness which the concept extraction method based on Bootstrapping uses statistical methods and ignores the semantic affect to the result, the accuracy of concept extraction is improved.
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How to cite this article
Wu Junyun and Xie Caiyun, 2013. Improvement of Method of Concept Extraction Based on
Bootstrapping in Ontology Learning. Journal of Applied Sciences, 13: 3620-3625.
DOI: 10.3923/jas.2013.3620.3625
URL: https://scialert.net/abstract/?doi=jas.2013.3620.3625
DOI: 10.3923/jas.2013.3620.3625
URL: https://scialert.net/abstract/?doi=jas.2013.3620.3625
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