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Received:June 30, 2015 Revised:August 20, 2015
Received:June 30, 2015 Revised:August 20, 2015
中文摘要: 国家标准馆是唯一的国家级标准收藏机构,建成了规模庞大的标准文献题录数据库、全文数据库.但是面对海量的数据资源,标准文献研究人员在没有计算机相关知识的情况下难以对相关数据进行全面的了解和研究,传统的研究方式也无法实时并直观的对统计数据进行展示.本文基于这些问题,开发了大规模标准文献可视化分析系统,设计和实现了可以自由定制的数据统计功能以及对标准文献的起草人、起草机构的关联分析功能.本系统为标准文献研究领域的研究人员提供了一个对标准文献资源高效便捷的可视化分析工具,研究人员对统计数据进行定制就能够获取到有效的数据,大幅提升了标准文献资源的分析效率.
Abstract:China National Institute of Standardization currently has large bibliographic databases and full-text databases. Facing the massive data, researchers without computer-related knowledge are difficult to conduct a comprehensive understanding of the relevant data. Thus this paper proposes the standard documents resources analysis system based on Solr. This paper designed and implemented the customized statistical features and relation analysis of the drafters and organizations of the standard documents. The system allows researchers to freely analyze the standard documents data, which greatly enhances the efficiency of the data analysis and promotes the development of related research.
keywords: Solr data analysis standard documents relation analysis
文章编号: 中图分类号: 文献标志码:
基金项目:中央基本科研业务费支撑项目(252015Y-4003)
Author Name | Affiliation |
ZHANG Zhen | School of Computer Science & Technology, Beihang University, Beijing 100191, China |
GAN Ke-Qin | China National Institute of Standardization, Beijing 100191, China |
Author Name | Affiliation |
ZHANG Zhen | School of Computer Science & Technology, Beihang University, Beijing 100191, China |
GAN Ke-Qin | China National Institute of Standardization, Beijing 100191, China |
引用文本:
张震,甘克勤.基于Solr的大规模标准文献可视化分析系统.计算机系统应用,2016,25(3):67-71
ZHANG Zhen,GAN Ke-Qin.Standard Documents Resources Visual Analysis Systems Based on Solr.COMPUTER SYSTEMS APPLICATIONS,2016,25(3):67-71
张震,甘克勤.基于Solr的大规模标准文献可视化分析系统.计算机系统应用,2016,25(3):67-71
ZHANG Zhen,GAN Ke-Qin.Standard Documents Resources Visual Analysis Systems Based on Solr.COMPUTER SYSTEMS APPLICATIONS,2016,25(3):67-71