大数据环境下情报语言的拓展及运用  

Expansion and Application of Intelligence Language under Big Data Environment

作　　者：秦殿启[1] 

机构地区：[1]盐城工学院图书馆,江苏盐城224051

出　　处：《情报理论与实践》2015年第10期33-37,共5页Information Studies:Theory & Application

基　　金：江苏省教育科学"十二五"规划立项课题"泛在信息社会应用技术型本科人才信息素养教育体系的构建"的阶段性成果;项目编号:D/2015/01/139

摘　　要：情报语言作为一定环境下情报存储和检索的工具,在大数据环境下凸显复杂多变;基于情报语言研究现状的综述,文章从分类语言、主题语言、代码语言、引文追溯、自然语言、词语修辞、检索工具7个方面阐述情报语言的拓展情况,提出意义建构、检索步骤优化和情报审美3个方面的运用策略。Intelligence language is tools of intelligence storage and retrieval in a certain environment,which highlights the complexity and variety in the big data environment. Based on the summary of the research status of intelligence language,this paper expounds the expansion of intelligence language from 7 aspects,including classification language,theme language,code language,retroactive citation,natural language,words rhetoric and retrieval tools,and proposes using strategies from 3 aspects,such as sense-making,optimization of retrieval steps and intelligence aesthetics.

关 键 词：大数据 检索语言 检索策略 

分 类 号：G350[文化科学—情报学] G354.1