国内大数据知识服务研究热点与进展

发布时间：2018-04-21 00:33

本文选题：大数据知识服务 + 图书馆　；参考：《西南民族大学学报(人文社科版)》2017年09期

【摘要】：大数据知识服务是大数据生态系统最重要和最核心的服务体系之一,系统梳理国内大数据知识服务的研究现状,提出未来研究中值得关注的问题,对推动国内大数据知识服务的进一步研究与实践具有重要的意义。本文以CNKI和维普期刊资源整合服务平台为来源数据库,检索并整理国内2013年1月至2016年8月间发表的与大数据知识服务有关的全部文献,采用内容分析法对研究主题进行分析、归纳和总结;重点从大数据带来的机遇与挑战、大数据知识服务内涵、大数据知识服务模型、大数据知识服务关键技术、大数据知识服务平台构建和开展大数据知识服务的相关策略等6方面进行深入分析和评述。研究结果表明,国内大数据知识服务研究具有初步形成核心作者和核心团队、研究成果增长迅速、重视程度不够和研究主体多样性等特点,未来应加强大数据知识服务概念、大数据知识服务职业教育、大数据知识服务的实践应用和工作开展的信息伦理问题等方面的研究。
[Abstract]:Big data's knowledge service is one of the most important and core service systems in big data ecosystem. This paper systematically combs the current research situation of big data's knowledge service in China, and puts forward some problems to be paid attention to in future research. It is of great significance to promote the further research and practice of big data's knowledge service in China. In this paper, CNKI and WIP periodical resources integration service platform are used as the source database to retrieve and collate all the literatures related to big data's knowledge service published between January 2013 and August 2016, and the research topics are analyzed by content analysis method. Summing up and summing up; focusing on the opportunities and challenges brought by big data, the connotation of big data knowledge service, big data model of knowledge service, and the key technologies of big data knowledge service, Big data's knowledge service platform construction and the related strategy of big data knowledge service are analyzed and commented in depth. The results show that the research on big data's knowledge service has the characteristics of forming core authors and core teams, the research results are growing rapidly, the degree of attention is not enough and the research subjects are diverse, so the concept of big data knowledge service should be strengthened in the future. The research on big data's knowledge service vocational education, the practical application of big data's knowledge service and the information ethics of work.
【作者单位】：西南民族大学图书馆;
【基金】：西南民族大学中央高校基本科研业务费专项资金项目资助“大数据时代图书馆人性化创新服务研究”(2017SZYQN51)阶段性成果
【分类号】：G353.1

【参考文献】