非相关文献知识发现研究进展  

Summary of New Progress in Research on Disjoint Literature Knowledge Discovery

作　　者：杨渊[1,2] 高柳滨[2] 

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学院上海药物研究所,上海201203

出　　处：《情报理论与实践》2011年第4期125-128,共4页Information Studies:Theory & Application

摘　　要：本文通过大量的文献调研,对近5年来国内外知识发现研究的进展进行了系统的梳理,从知识发现研究过程中涉及的关联挖掘算法、中间词/目标词排序方法、过滤方法几个角度进行了方法总结,最后提出了未来知识发现的改进和发展方向。By a comprehensive survey of literatures,this paper reviews the progress in research on knowledge discovery systematically both at home and abroad in recent 5 years.The paper summarizes the methods involved with knowledge discovery research,including association mining algorithm,between-term/target-term ranking method and filtering method.Finally,the paper points out the direction for the improvement and development of the future knowledge discovery.

关 键 词：非相关文献 知识发现 综述 

分 类 号：G350[文化科学—情报学]