基于大数据整合与文本挖掘的中药生物分子信息文献系统关键技术模型  

Key Technology Model of the Traditional Chinese Medicine Biomolecular Information Literature System Based on Big Data Integration and Text Mining

作　　者：江启煜[1] 何晓华[1] 刘秀峰[1] 刘慧玲[1] 王庆香[1] JIANG Qiyu;HE Xiaohua;LIU Xiufeng;LIU Huiling;WANG Qingxiang(Guangzhou University of Chinese Medicine, Guangzhou 510405, China)

机构地区：[1]广州中医药大学,广州510405

出　　处：《医学信息学杂志》2019年第2期53-57,共5页Journal of Medical Informatics

基　　金：广东省科技计划项目"基于大数据整合和文本挖掘的中药生物分子信息文献系统的研发"(项目编号:2017A0303 03070);广东省普通高校青年创新人才项目(项目编号:2016K QNCX024)

摘　　要：基于大数据整合和文本挖掘技术,建立具有多层次信息检索和知识推理发现功能的中药生物分子信息文献系统,介绍系统研发框架、数据库设计、特色与创新之处,指出系统能够为中药研究提供方便可靠的基础数据和分析支持,具有广阔应用前景。Based on big data integration and text mining technology, the Traditional Chinese Medicine(TCM) biomolecular information literature system with multilevel functions of information retrieval and knowledge reasoning discovery has been built. The paper introduces system development framework, design of database, features and innovative parts, points out that the system is able to provide TCM study with convenient and reliable basic data and analysis supports and has a broad application prospective.

关 键 词：大数据 文本挖掘 中药药理 生物分子信息 关键技术 

分 类 号：R-056[医药卫生]