大数据环境下科技文献用户阅读行为知识组织模型研究  

Research on Knowledge Organization Model of Scientific Literature Based on Users’ Reading Behavior in the Background of Big Data

作　　者：徐飞[1] 徐绪堪[2,4] 吴广印[3] 

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 [4]江苏省“世界水谷”与水生态文明协同创新中心,南京211100

出　　处：《情报学报》2015年第9期912-921,共10页Journal of the China Society for Scientific and Technical Information

基　　金：国家科技支撑计划课题“科技文献多渠道数字出版发布关键技术及云服务系统研发(2012BAH90F04)”;江苏社科基金项目“大数据环境下问题驱动的知识组织模式研究(14TQB006)”支持

摘　　要：在大数据环境下，各类科技文献数据爆炸式增长，为用户带来更多的科技文献数据同时，也导致科技文献服务部门难以提供快捷和有效的科技文献服务，最终用户难以找到问题的满意解答。究其原因，目前的科技文献主要采用被动式的资源组织方式，而没有系统考虑科技文献用户阅读行为，缺乏针对用户阅读行为导向的科技文献资源的组织。为了提高科技文献服务质量和效率，通过分析国内外用户阅读行为研究基础上，界定科技文献用户阅读行为特征，挖掘出科技文献阅读用户行为内在规律，并将用户阅读行为规律来引导科技文献的组织和服务，最终为用户提供快捷高效的知识服务。因此本文以提高科技文献知识服务的效率为目标来架构面向用户阅读行为的知识组织框架，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面向科技文献用户阅读行为的知识，借助大数据分析方法，对面向用户阅读行为的知识组织准备、获取、关联分析以及服务等组织过程，总体架构面向科技文献阅读行为的知识组织模型，并把用户阅读行为分析融人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，通过实例应用加以验证，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 and eventually users find difficulties in working out satisfying solutions to their problems, for the reason that current scientific literature is mainly organized in a passive way without systematic consideration on users＇ reading habits or any organization of user＇s reading behavior oriented scientific and technical literature. In order to improve the quality and efficiency of scientific service, studies on domestic and international users＇ reading behavior are made by defining the features of thescientific literature users＇ reading behavior and exploring their inherent rules which are used to guide the organization and service of the scientific and technical literature so as to finally provide fast and efficient knowledge service for users. Therefore, with an objective of improving 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 overall 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 finally gives guidance for the knowledge department to provide users with a valid scientific literature knowledge service.

关 键 词：大数据 科技文献用户 阅读行为 分析模型 知识组织 

分 类 号：G254[文化科学—图书馆学]