摘要
[目的/意义]从理论、方法、技术与应用的视角研究大数据环境下的多源信息融合问题。[方法 /过程]探索多源信息融合的理论基础与科学依据,梳理多源信息融合的问题与现象,对多源信息融合的技术与方法进行归纳总结,对构建大数据环境下的多源信息融合应用进行探讨。[结果 /结论]大数据环境下的多源信息融合理论包括相关性原理、多元表示原理、意义建构理论等,多源信息融合方法包括统一标识、数据比对、异构加权等一系列过程以及多种分析建模方法,多源信息融合在国家层面、城市或行业组织层面、企业机构层面都有着广泛的需求与应用。
[ Purpose/significance] To study the problem of multi-source information fusion in big data environment from the perspective of theory, method, technology and application. [ Method/process] Explores the theory foundation and scientific basis of muhi-source information fusion, and clarifies the problems and phenomenon of the muhi-source in- formation fusion, then summarizes technologies and methods of multi-source information fusion, to present applications of multi-source information fusion in big data environment. [ Result/conclusion ] Theories of multi-source information fusion include relevance principle, polyrepresentation principle, and sense-making theory. Methods of multi-source information fusion include a series of processes, such as unified resource, data comparison, heterogeneous weighted and a variety of a- nalysis and modeling methods. At last, widely application and demand of multi-source information fusion are presented at the national level, city or level of industry, enterprise organization level.
出处
《图书情报工作》
CSSCI
北大核心
2015年第16期5-10,共6页
Library and Information Service
基金
中国博士后科学基金特别资助项目"大数据环境下的多源信息融合机理与方法研究"(项目编号:2015T80027)
国家社会科学基金重点项目"大数据环境下的计算型情报分析方法与技术研究"(项目编号:14ATQ005)研究成果之一
关键词
大数据多
源信息融
情报分析
big data multi-source informnation fusion intelligence analysis
