摘要
[目的/意义]面对多学科领域、多类型用户的专题情报服务需求,建立专题情报数据管理与智能分析平台。实现专题情报分析的流程化和智能化,同时对融入专家智慧的专题情报分析过程数据进行管理,丰富服务模式,提升服务需求响应速度。[方法/过程]在调研已有相关研究与实践分析基础上,提出平台设计思路、建设框架,对平台主要功能和关键技术进行剖析。[结果/结论]专题情报数据管理与智能分析平台已建设完成。平台集成了多来源多类型数据,打通了从数据到分析的服务链条。嵌入了多种情报分析方法和深度学习算法,实现了多维多层次分析服务。能够对分析过程和情报分析人员历史积累数据进行管理,实现数据共享和重复利用。
[Purpose/significance]In order to meet the subject information service needs of multi-disciplinary and multi-type users,we construct a data management and intelligent analysis platform.Creating an intelligent analysis flow and managing different types of subject data that reflect experts’wisdom,the platform aims to enrich the service model and improve the service speed.[Method/process]On the basis of investigating existing relevant research and practice,we proposed the design idea and construction framework of the platform,and analyzed the main functions and key technologies.[Result/conclusion]The platform has been completed.It integrates multiple sources and multiple types of data,opens up the service chain from data to analysis,embeds a variety of information analysis methods and deep learning algorithms,realizes multi-dimensional analysis services.It can manage analysis process data and history data from information analysts,and then realize data sharing and reuse.
作者
于倩倩
钱力
程冰
常志军
王慧丽
靳茜
Yu Qianqian;Qian Li;Cheng Bing;Chang Zhijun;Wang Huili;Jin Qia(National Science Library,Chinese Academy of Sciences,Beijing 100190;Departnent of Library.Information and Archives Management.School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190;China National Chemical Information Centre,Beijing 100029;Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Bejjing 100081)
出处
《图书情报工作》
CSSCI
北大核心
2020年第24期92-105,共14页
Library and Information Service
基金
NSTL资助项目“专题情报数据协同管理与分析服务”(项目编号:科1926)研究成果之一
“中国科学院文献情报中心成立七十周年主题论坛与纪念文集出版”项目资助出版。
关键词
专题情报
数据管理
智能分析
情报分析
subject information
data management
intelligent analysis
information analysis