Research on the identification of persons, organizations, and locations in texts has been conducted in individual domains and application development cases, but there has been almost no research on platforms that enable the analysis of these data through interconnections. In this study, we developed functions to analyze the meta information of data and various contents and to automatically identify and analyze the identification information needed to link them. Furthermore, these functions were converted to open APIs, which were then mounted in an entity-drive knowledge analytics platform. To demonstrate the efficacy of the proposed platform, scenarios of various analytical application services are presented and the possibility of future expansions of the entitydriven analytic platform based on them is explained.
CITATION STYLE
Jung, Y., Kim, J., Oh, H. S., Suh, D., Kim, J. S., Lee, S. H., … Yoon, J. (2018). Entity-driven knowledge analytics platform for science and technology. International Journal of Advanced Science and Technology, 116, 1–12. https://doi.org/10.14257/ijast.2018.116.01
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