科技大数据的情报分析技术研究
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摘要
【目的/意义】现代科学技术的进步和发展给情报研究工作,特别是给情报分析技术带来了变化。传统的情报分析技术面对海量数据的快速增长和技术进步的事实,采用新方法和新技术充实到科技情报分析过程中已是必然趋势。【方法/过程】本文以科技大数据为研究和分析对象,论述国内外的相关研究现状,介绍科技大数据的建模和分析流程,阐述科技大数据分析平台的设计和研发工作。【结果/结论】论文通过实例介绍科技数据分析平台的数据分析过程,为实现科技大数据情报分析平台的实用化奠定了研究基础和方法。
【Purpose/significance】The progress and development of modern science and technology has brought changes to the information research work, especially to the information analysis technology. The traditional information analysis technology is facing the fact that the rapid growth of the massive data and the technological progress. It is an inevitable trend to use new methods and technologies to enrich the analysis process of scientific and technological information.【Method/process】In this paper, from the perspective of science and technology of big data, described the research status, introduced data modeling and analysis process.【Result/conclusion】It introduced design and development work of analysis platform and its data analysis process. The work of the paper laid the research foundation and method for practicability of data analysis platform.
【Purpose/significance】The progress and development of modern science and technology has brought changes to the information research work, especially to the information analysis technology. The traditional information analysis technology is facing the fact that the rapid growth of the massive data and the technological progress. It is an inevitable trend to use new methods and technologies to enrich the analysis process of scientific and technological information.【Method/process】In this paper, from the perspective of science and technology of big data, described the research status, introduced data modeling and analysis process.【Result/conclusion】It introduced design and development work of analysis platform and its data analysis process. The work of the paper laid the research foundation and method for practicability of data analysis platform.
引文
1 Boris Lublinsky,Kevin T.Smith,Alexey Yakubovich.Hadoop.高级编程:构建与实现大数据解决方案[M].穆玉伟,靳晓辉,译.北京:清华大学出版社,2014.
2李雯.大数据时代[J].出版广角,2014,(17):39-41.
3陈明.大数据可视化分析[J].计算机教育,2015,(5):94-97.
4 Baumann,Peter,Mazzetti,Paolo et al.Big Data Analytics for Earth Sciences:the EarthServer approach[J].International journal of digital Earth,2016,9(1/3):3-29.
5王运红,潘云涛,赵筱媛.基于科技信息大数据的科技人才科研综合能力评价及应用研究[J].医学信息学杂志,2017,38(12):7-13.
6吴素研,吕志坚,吴江瑞,李文波.科技情报大数据业务平台设计[J].现代情报,2018,38(1):131-135.
7曾文.科技文献术语的自动抽取技术研究与分析[J].现代图书情报技术,2014,(1):51-55.
8 Wen Zeng.The exploration of information extraction and analysis about science and technology policy in China[J].The Electronic Library,2017,35(4):709-723.
9 Wen Zeng.Term extraction and correlation analysis based on massive scientific and technical literature[J].Int.J.Computational Science and Engineering,2017,15(4):248-255.
2李雯.大数据时代[J].出版广角,2014,(17):39-41.
3陈明.大数据可视化分析[J].计算机教育,2015,(5):94-97.
4 Baumann,Peter,Mazzetti,Paolo et al.Big Data Analytics for Earth Sciences:the EarthServer approach[J].International journal of digital Earth,2016,9(1/3):3-29.
5王运红,潘云涛,赵筱媛.基于科技信息大数据的科技人才科研综合能力评价及应用研究[J].医学信息学杂志,2017,38(12):7-13.
6吴素研,吕志坚,吴江瑞,李文波.科技情报大数据业务平台设计[J].现代情报,2018,38(1):131-135.
7曾文.科技文献术语的自动抽取技术研究与分析[J].现代图书情报技术,2014,(1):51-55.
8 Wen Zeng.The exploration of information extraction and analysis about science and technology policy in China[J].The Electronic Library,2017,35(4):709-723.
9 Wen Zeng.Term extraction and correlation analysis based on massive scientific and technical literature[J].Int.J.Computational Science and Engineering,2017,15(4):248-255.