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机构地区:[1] 江苏省广电有线信息网络股份有限公司,南京210008 [2] 河海大学信息管理系,常州213022 [3] 中国科学技术信息研究所,北京100038
出 处:《数字图书馆论坛》2014年第12期56-62,共7页Digital Library Forum
基 金:“十二五”国家科技支撑计划项目“专利信息资源挖掘与发现关键技术研究”(编号:2013BAH21B02)资助
摘 要:在大数据环境下,科技文献等各类数据爆炸式增长,却难以提供快捷和有效的科技文献服务,究其原因,主要在于科技文献资源组织没有考虑科技文献用户阅读行为。分析国内外用户阅读行为,不仅要对科技文献用户阅读行为进行分析,更重要的是对科技文献阅读用户行为知识进行组织和分析,才能为科技文献服务提供支撑。文章以提高科技文献知识服务的效率为目标,以科技文献用户阅读行为为研究对象,从知识组织角度分析科技文献用户阅读行为知识,借助大数据分析方法,对用户阅读行为知识组织的准备、获取、关联分析以及服务等组织过程,总体架构科技文献阅读行为知识组织模型,并把用户阅读行为分析融入到科技文献的知识组织和服务过程中,将用户阅读行为信息升华为用户知识需求,最终指导知识提供部门为用户提供有效的科技文献知识服务。With the background of big data today, various data concerning scientific and technical literature grow at an explosive speed. However, fast and efficient service is difficult to be provided for the science and technical department, for the reason that scientific literature is mainly organized in a passive way without considering the users' reading habits. On the basis of studies about domestic and international users' reading behavior, not only the scientific literature users' reading behavior is analyzed, but more importantly, the knowledge organization about this behavior is also analyzed so as to provide support to the scientific literature service. Therefore, in order to improve the efficiency of the scientific literature knowledge and with relevant users' reading behavior as subjects, this paper analyzes the reading behavior and knowledge of scientific literature users from the perspective of knowledge organization. By the big data analysis method, this paper makes research on the organization process of users' reading behavior knowledge including preparation, obtaining, correlation analysis and service etc., builds the overal architecture of the organization model, integrates the analysis into the organization and service process, then upgrades the users' reading behavior information to knowledge demands, and final y gives guidance for the knowledge department to provide users with a valid scientific literature knowledge service.
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