%0 Journal Article
%T Optimized auto-learning ontology framework and application<br>一个优化的本体自学习构建模型及其应用*
%A JIANG Guo-rui
%A ZHAO Liang
%A <br>蒋国瑞
%A 赵亮
%J 计算机应用研究
%D 2009
%I 
%X Aiming at the urgent need in China on the information of the newest dynamic technical barriers to trade(TBT) for timing and exactly,this paper gave a design of an ontology learning for the TBT electronic products domains.It introduced the framework of its architecture,and presented its main function and main implementing techniques,also the solutions to the problems.This framework could make computer semiautomatic extract and reuse text.This architecture could improve the efficiency and quality of ontology.It implemented this strategy in electronic product field and proved its universality and adaptability.
%K semantic Web
%K ontology
%K self-study
%K technical barriers to trade(TBT)<br>语义网
%K 本体
%K 自学习
%K 技术性贸易壁垒
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C26AF7ECBF0BD586FAAA0371C4FC33B7&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=BBF7D98F9BEDEC74&eid=73579BC9CFB2D787&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=10