Zhou Wei, Smalheiser Neil R, Yu Clement
Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA.
J Biomed Discov Collab. 2006 Mar 13;1:2. doi: 10.1186/1747-5333-1-2.
This informal tutorial is intended for investigators and students who would like to understand the workings of information retrieval systems, including the most frequently used search engines: PubMed and Google. Having a basic knowledge of the terms and concepts of information retrieval should improve the efficiency and productivity of searches. As well, this knowledge is needed in order to follow current research efforts in biomedical information retrieval and text mining that are developing new systems not only for finding documents on a given topic, but extracting and integrating knowledge across documents.
本非正式教程面向希望了解信息检索系统工作原理的研究人员和学生，包括最常用的搜索引擎：PubMed和谷歌。具备信息检索的术语和概念基础知识应能提高搜索效率和生产力。此外，为了跟上生物医学信息检索和文本挖掘领域当前的研究工作，这种知识是必要的，这些研究正在开发新系统，不仅用于查找关于给定主题的文档，还用于跨文档提取和整合知识。
