| 高校机构知识库与用户的互动关联策略研究 |
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| 引用本文： | 傅俏,卢章平,盈江燕,袁润.高校机构知识库与用户的互动关联策略研究[J].图书情报工作,2014,58(24):31-36. |
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| 作者姓名： | 傅俏 卢章平 盈江燕 袁润 |
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| 作者单位： | 1. 江苏大学图书馆;
2. 江苏大学科技信息研究所 |
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| 基金项目： | 本文系国家社会科学基金项目"网络环境下图书馆的生存环境与功能定位的变革研究"(项目编号:12BTQ007)和"图书馆知识发现服务的功能定位和建设策略研究"(项目编号:14BTQ018)研究成果之一. |
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| 摘 要： | 分析国内外机构知识库建设的实践研究现状,借鉴彼此的发展经验,结合国内高校机构知识库建设基础,提出将其与高校其他管理平台关联的用户交流互动服务理念,以期将机构知识库建设成为数字校园的信息枢纽.认为应以个人科研助理、团队协同平台、机构知识仓储作为机构知识库的拓展功能,在提供比较完善的科研协同服务、学科知识服务、个性化服务的同时,实现科研过程成果和灰色文献的自动存档,确保机构知识库资源的可持续自动增长,提升机构的学术影响力和核心竞争力.
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| 关 键 词： | 机构知识库 建设策略 互动关联 关联数据 |
| 收稿时间： | 2014-10-20 |
Research on Interactive Relevance Strategy between Institutional Repositories of University Libraries and Users |
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| Fu Qiao,Lu Zhangping,Ying Jiangyan,Yuan Run.Research on Interactive Relevance Strategy between Institutional Repositories of University Libraries and Users[J].Library and Information Service,2014,58(24):31-36. |
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| Authors: | Fu Qiao Lu Zhangping Ying Jiangyan Yuan Run |
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| Institution: | 1. Library of Jiangsu University, Zhenjiang 212013;
2. Institute of Information Science and Technology, Jiangsu University, Zhenjiang 212013 |
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| Abstract: | Through the analysis of domestic and foreign institutional repository practices, learning from the advanced development experience, combined with domestic university institutional repository's infrastructure, it puts forward the user interaction service concept to association with other university management platforms, and IR will become an information hub of digital campus. And playing as the personal research assistant, research team collaborative platform and institutional knowledge storage as the expansion of the IR service function, it will provide more perfect research collaborative services, discipline knowledge service, personalized service, and automatic archiving process research results and gray literature as well, which could ensure sustainable growth of IR resources to enhance academic influence and core competitiveness of institutions. |
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| Keywords: | institutional repository construction strategy interactive relation linked data |
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