| 面向科技资源组织管理的数据模型分析研究 |
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| 引用本文： | 崔小委,屈宝强,刘蔚.面向科技资源组织管理的数据模型分析研究[J].科技管理研究,2018(13). |
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| 作者姓名： | 崔小委 屈宝强 刘蔚 |
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| 作者单位： | 中国科学技术信息研究所 |
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| 基金项目： | 中国科学技术信息研究所创新研究“基于国科管系统的数据建设模型分析研究”(QN2017-16) |
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| 摘 要： | 从系统设计的角度出发,提出面向科技数据资源的模型分析架构。
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| 关 键 词： | 大数据 数据模型 科技管理信息系统 语义关联 |
| 收稿时间： | 2017/9/5 0:00:00 |
| 修稿时间： | 2017/9/5 0:00:00 |
Research on Data Model for Organization and Management of Scientific and Technological Resources |
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| Abstract: | In the big data environment, the deepening of science and technology management services is facing new challenges. The construction of the national science and technology management information system is an important starting point for the implementation of the party and the state to speed up the reform of science and technology system and build a large data service system.In the face of multi-dimensional and multi-source scientific and technical data resources, the traditional relational database is difficult to meet the large number of disordered and heterogeneous data"s storage and complex computing, and it is easy to cause system data redundancy, in order to better achieve the underlying data system planning , semantic correlation data model design is the key to the big utility of science and technology, and it will play an important role in precision retrieval, semantic understanding, knowledge organization, data mining and so on. From the point of view of system design, this paper proposes a model analysis framework for science and technology data resources. |
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| Keywords: | big data data model science and technology management information system semantic association |
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