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Survey of Data Value Evaluation Methods Based on Open Source Scientific and Technological Information

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1058))

Abstract

It is important to effectively identify the data value of open source scientific and technological information and to help intelligence analysts select high-value data from a large number of open-source scientific and technological information. The data value evaluation methods of scientific and technological information is proposed in the open source environment. According to the characteristics of the methods, the data value evaluation methods were divided into the following three aspects: research on data value evaluation methods based on information metrology, research on data value evaluation methods based on economic perspective and research on data value assessment methods based on text analysis. For each method, it indicated the main ideas, application scenarios, advantages and disadvantages.

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Acknowledgment

This research is supported by the Project of ISTIC (MS2019-04).

Author information

Authors and Affiliations

  1. Institute of Scientific and Technical Information of China, Beijing, 100038, China

    Xiaolin Wang, Cheng Dong, Wen Zeng, Zhen Xu & Junsheng Zhang

Authors
  1. Xiaolin Wang
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  2. Cheng Dong
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  3. Wen Zeng
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  4. Zhen Xu
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  5. Junsheng Zhang
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Corresponding author

Correspondence to Wen Zeng .

Editor information

Editors and Affiliations

  1. Guilin University of Technology, Guilin, China

    Xiaohui Cheng

  2. Northeast Forestry University, Harbin, China

    Weipeng Jing

  3. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  4. National Academy of Guo Ding Institute of Data Science, Harbin, China

    Zeguang Lu

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Wang, X., Dong, C., Zeng, W., Xu, Z., Zhang, J. (2019). Survey of Data Value Evaluation Methods Based on Open Source Scientific and Technological Information. In: Cheng, X., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_14

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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