文本挖掘技术在农业知识服务中的应用述评

目的/意义]支撑数据密集型科学发现下科技创新生态的知识服务新业态正悄然形成。文本挖掘作为知识服务技术的核心,在知识服务新业态环境下面临挑战。本文旨在探讨在新环境下知识服务中应用文本挖掘技术的发展策略。方法/过程]梳理文本挖掘技术框架,论证文本挖掘技术逐步成熟。结合农业领域分析文本挖掘在农业信息检索、智能问答、信息监测和知识抽取等方面应用,展示其在领域科技创新和产业应用中取得的良好应用效果。结果/结论]结合中国国情提出以文本挖掘为主的知识服务技术发展策略:(1)基于文本挖掘技术构建专门知识服务系统;(2)重视语料库和基础知识库建设;(3)在重点领域优先开展和部署文本挖掘技术的应用。

Review on the Application and Development Strategies of Text Mining in Agriculture Knowledge Services

Purpose/Significance]Under the new ecological environment of scientific and technological innovation supporting data-intensive scientific discovery,the new format of knowledge service is quietly taking shape.Text mining as the core of knowledge service is facing challenges under the environment of new knowledge service formats.This paper aims to discuss the development strategies of using text mining to carry out knowledge services in the new environment.Method/Process]This paper sorts out the technical framework of text mining,and demonstrates that text mining is gradually maturing.Using the research and practice in the field of agriculture as a case study in such areas as information retrieval,intelligent question-answering,information monitoring and knowledge extraction,text mining has shown a good performance in scientific and technological innovation and industrial applications.Results/Conclusions]This paper puts forward the knowledge service technology development strategies according to China's conditions:(1)constructing a specialized knowledge service system based on text mining technologies,(2)attaching importance to the construction of corpora and basic knowledge bases,and(3)giving priority to implementing the deployment of knowledge service technologies in key areas.