大数据环境下基于分工协作的情报系统构建方法研究  

Research of Collaboration-based Information System Construction Methodology in a Big Data Environment

作　　者：张明宝[1] 秦琪 Zhang Mingbao;Qin Qi(Institute of Information Management and Electron Business,College of Economy and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106)

机构地区：[1]南京航空航天大学经济与管理学院信息管理与电子商务研究所,南京211106

出　　处：《情报杂志》2022年第2期29-34,共6页Journal of Intelligence

摘　　要：[研究目的]将大数据技术引入构建服务于中小规模组织的情报系统时面临技术难度大、资源获取困难以及用户使用门槛高等困难。因此,提出一种大数据环境下基于分工协作的情报系统构建方法,该方法可以有效解决中小规模组织构建情报系统时所面临的这些问题。[研究方法]通过对基于第三方的大数据环境下情报系统构建的三层模型和基于分工协作构建大数据情报系统的典型场景的阐述,提供了一种初步的可行技术解决方案,最后对基于分工协作构建大数据环境下的情报系统所面临的管理困难进行了探讨。[研究结论]基于分工协作构建情报系统是大数据环境下情报学研究的一个重要方向,通过建立技术参考模型和典型应用场景可以为相关技术标准和实现方法的进一步确立提供参考。[Research purpose]The introduction of big data technology into the construction of intelligence system serving small and medium-sized organizations is faced with great technical difficulties,resource acquisition difficulties and high user threshold difficulties.In this paper,we propose an intelligence system construction method based on division of labor and cooperation in the environment of big data.This method can effectively solve these problems faced by small and medium-sized organizations when they construct intelligence systems.[Research method]It provides a preliminary feasible technical solution by elaborating the three-tier model of intelligence system construction under big data environment and typical scenarios of building big data intelligence system based on division of labor and cooperation.Finally,it discusses the management difficulties faced by intelligence system construction under big data environment based on division of labor and cooperation.[Research conclusion]Building information system based on division of labor and cooperation is an important direction of information science research under the environment of big data.The establishment of technical reference model and typical application scenarios can provide reference for the further establishment of relevant technical standards and implementation methods.

关 键 词：大数据 社会化协作 情报服务 情报系统 行业知识库 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]