图书情报工作 ›› 2017, Vol. 61 ›› Issue (21): 130-136.DOI: 10.13266/j.issn.0252-3116.2017.21.016

• 知识组织 • 上一篇    下一篇

比较视域下本地化电子资源使用统计系统研究

陈越1, 都平平2   

  1. 1. 中国矿业大学网络与信息中心 徐州 221116;
    2. 中国矿业大学图书馆 徐州 221116
  • 收稿日期:2017-06-20 修回日期:2017-08-11 出版日期:2017-11-05 发布日期:2017-11-05
  • 作者简介:陈越(ORCID:0000-0002-3537-6919),信息化部主任,工程师,硕士,E-mail:yuechen@cumt.edu.cn;都平平(ORCID:0000-0001-8152-6706),副馆长,研究馆员,博士。

A Comparative Study of Local E-resource Usage Statistics Systems

Chen Yue1, Du Pingping2   

  1. 1. Networkand Information Center, China University of Mining and Technology, Xuzhou 221116;
    2. Library, China University of Mining and Technology, Xuzhou 221116
  • Received:2017-06-20 Revised:2017-08-11 Online:2017-11-05 Published:2017-11-05

摘要: [目的/意义]基于本地计量技术的电子资源使用统计系统尝试解决数据库商数据在可靠性、统计粒度、统计范围等方面的不足,对这些系统进行分类、比较与评价,有助于了解不同系统的技术差异与应用场景,选择适宜的系统。[方法/过程]采用文献综述与比较分析法,对典型系统进行分类、对比,并从技术架构、系统能力、部署条件等方面进行比较与评价。[结果/结论]研究表明过流式系统的数据收集能力、干预处理能力优于监听式系统,但后者更易部署;移动应用访问统计、数据可靠性、报告规范性及读者隐私保护既是现有系统的普遍不足,也是驱动系统发展的动力。

关键词: 电子资源, 使用统计, 网关日志分析, 网络流量分析, 页面标记分析

Abstract: [Purpose/significance] E-resource usage statistical systems based on local measurement method try to solve the problems of reliability, statistical granularity and statistical scope of the usage data from content providers. To classify, compare and evaluate these systems will help librarians understand the technical differences and application scenarios, and decide on an appropriate implementation plan.[Method/process] The methods of literature review and comparative analysis are employed to classify the typical systems based on related literature, and to compare and evaluate the architecture, ability and deployment conditions of these systems.[Result/conclusion] The study shows in-line system is superior to the bypass monitor system in data collection ability and intervention ability, but the latter is easier to deploy. Mobile application access statistics, data reliability, standardization of reports and user privacy protection are common problems of the existing systems, but they are also the driving force for the system development.

Key words: electronic resources usage statistics, logfile analysis, page tagging, analysis network, traffic analysis

中图分类号: