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Development of Platform-Based Knowledge Map Service to get Data Insights of R&D Institution on User-Interested Subjects

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Abstract

Generally, any database is developed for the purpose of providing certain services for retrieval or management of data. If rules or processes designed to extract and analyze data in consideration of data characteristics are simplified and services are provided to users by visualizing analysis results in an easy-to-understand fashion, users will be able to get diverse insights easily without much cost or effort. If this kind of database is constructed and provided in NTIS database as well (e.g., project data, research outcome data such as paper and patent, personnel information, etc.) users might be able to get varied insights on national R&D data. The approach proposed in this study is significant in that it provides platform-based analysis services which can create a knowledge map after extracting and analyzing user-interested data and subsequently visualizing the results. Furthermore, this study is intended to make users obtain insight on a research institute more easily by providing analyzable additional information, not only as a list of research institutes in user-preferred subjects after providing the results of the analysis on R&D expenses, but also in regional distribution and annual changes in core research institutes, focusing on those taking part in national R&D programs in certain fields.

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References

  1. Gim, J., Lee, J., Jang, Y., Jeong, D.-H., & Jung, H. (2016). A trend analysis method for iot technologies using patent dataset with goal and approach concepts. Wireless Personal Communications. https://doi.org/10.1007/s11277-016-3276-y.

    Google Scholar 

  2. Lee, B., Lee, J. Y., Kim, D., Noh, K. R., Yang, M. S., Kwon, O.-J., Choi, K.-N., & Kim, H.-J. (2013). Morphological classification of knowledge map for science and technology and development of knowledge map examples in the view of information analysis. Journal of the Korea Contents Association, 13(11), 461–476.

  3. Chae, C.-J., Choi, K.-N., & Choi, K. (2016). Information interoperability system using multi-agent with security. Wireless Personal Communications, 89, 819. https://doi.org/10.1007/s11277-015-3113-8.

    Article  Google Scholar 

  4. Yang, M.-S., Kang, N.-K., Kim, Y.-J., Kim, J.-S., Choi, K.-N., & Kim, Y.-K. (2013). Expert recommendation system based on analyzing expertise and networks of human resources in National Science & Technology Information Service. Journal of Central South University, 20(8), 2212–2218.

    Article  Google Scholar 

  5. Kim, Y., & Jeong, H. (2016). A Cloud Computing-Based Analysis System for the National R&D Information Concerning with the Data Security. Wireless Personal Communications, 89(3), 977–992.

    Article  Google Scholar 

  6. Lee, W., Cho, H., & Shon, K. (2016). Systematical classification scheme management to provide efficient national R&D service in P2P. Wireless Personal Communications, 86(1), 21–34.

    Article  Google Scholar 

  7. Leydesdorff, L., & Wagner, C., Park, H. W., Adams, J. 2013. International collaboration in science: The global map and the network. EI Professional de la Information.

  8. Lengyel, B., Sebestyén, T., & Leydesdorff, L. 2013. Challenges for regional innovation policies in CEE countries: Spatial concentration and foreign control of US patenting, Science and Public Policy.

  9. Yang, D.-R. 2011. Study of knowledge map structuring for innovation of the R&D planning. NRF Report

  10. Yang, M.-S., Kang, N.-K., Kim, T.-H., Joo, W.-K., Park, M.-W., & Choi, K.-N. (2014). An analysis of national R&D collaborators network based on the NTIS Data. International Journal of Software Engineering and Its Applications, 8(11), 11–24.

    Google Scholar 

Download references

Acknowledgement

This research was supported by ‘Maximize the Value of National Science and Technology by Strengthen Sharing/Collaboration of National R&D Information’ funded by the Korea Institute of Science and Technology Information.

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Correspondence to YunJeong Kim.

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Yang, M., Joo, W., Choi, K. et al. Development of Platform-Based Knowledge Map Service to get Data Insights of R&D Institution on User-Interested Subjects. Wireless Pers Commun 98, 3265–3285 (2018). https://doi.org/10.1007/s11277-017-5097-z

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  • DOI: https://doi.org/10.1007/s11277-017-5097-z

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