%0 Journal Article
%T Analysis of State-of-the-Art Knowledge Extraction Technologies<br>当前知识抽取的主要技术方法解析*
%A Zhang ZhixiongWu ZhenxinLiu Jianhua Xu Jian Hong Na Zhao Qi
%A <br>张智雄吴振新刘建华徐健洪娜
%A 赵琦
%J 现代图书情报技术
%D 2008
%I 
%X Based on the analysis of some state-of-the-art knowledge extraction systems,i.e.,MnM,KIM,Text2Onto,Amilcare and Melita,it brings forward that two kinds of technologies,i.e.,machine learning and natural language analysis,are developed respectively and get benefits from the inter-reference.On machine learning aspect,some new methods,such as Adaptive Information Extraction,Open Information Extraction,are put forward and have a trend toward Ontology Learning.On nature language analysis aspect,the methods of Pattern-Based Annotation and Semantic Annotation get more attention than ever,and have a trend toward Ontology Based Information Extraction.Besides,Controlled Language Information Extraction method is introduced to reduce the cost of Ontology Construction and allow non-specialists to create or edit ontological data using simple nature language.
%K Knowledge extraction Machine learning Nature language analysis Ontology<br>知识抽取
%K 机器学习
%K 自然语言分析
%K 本体
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=31B042E2AFE9CC520F4CA2C4DEA8C11F&yid=67289AFF6305E306&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=0B39A22176CE99FB&eid=708DD6B15D2464E8&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=1&reference_num=63