摘要
面对现代科研环境e-Science,知识合作和新知识发现成为严峻的挑战.本文提出了基于共引知识元间语义关联的隐含知识发现方法.该方法将文献单元分解成知识元,以资源描述框架模式（RDFS）建立由性质P为中心的知识元本体模型,利用知识元间的共引关系挖掘知识元间隐含关联关系,通过隐含关联实现新知识发现.软件试验表明这一方法鼓舞人心.
In the environment of e-Science, knowledge cooperation and new knowledge discovery become an austere challenge. This paper proposes a new knowledge discovery method based on knowledge element semantic associate. Tacit semantic associate of knowledge element in text unit, and ontology representation of knowledge element and knowledge discovery among latent semantic associate of knowledge element are discussed. Software examination indicates this method is inspriring.
出处
《情报学报》
CSSCI
北大核心
2007年第5期653-658,共6页
Journal of the China Society for Scientific and Technical Information
基金
本文为国家自然科学基金项目（70373046）研究成果.
关键词
知识元
隐含关联
知识发现
knowledge element, latent semantic associate, knowledge discovery
