Entity-driven knowledge analytics platform for science and technology

Yuchul Jung; Jinyoung Kim; Heung Seon Oh; Dongjun Suh; Jeong Soo Kim; Seok Hyong Lee; Kwang Young Kim; Jungsun Yoon

doi:10.14257/ijast.2018.116.01

Entity-driven knowledge analytics platform for science and technology

Yuchul Jung, Jinyoung Kim, Heung Seon Oh, Dongjun Suh, Jeong Soo Kim, Seok Hyong Lee, Kwang Young Kim, Jungsun Yoon

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	1-12
Number of pages	12
Journal	International Journal of Advanced Science and Technology
Volume	116
DOIs	https://doi.org/10.14257/ijast.2018.116.01
State	Published - 2018

Keywords

Analytics platform
Data analysis
Knowledge sharing
Named entity
Open APIs

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10.14257/ijast.2018.116.01

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abstract = "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.",

keywords = "Analytics platform, Data analysis, Knowledge sharing, Named entity, Open APIs",

author = "Yuchul Jung and Jinyoung Kim and Oh, {Heung Seon} and Dongjun Suh and Kim, {Jeong Soo} and Lee, {Seok Hyong} and Kim, {Kwang Young} and Jungsun Yoon",

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AU - Suh, Dongjun

AU - Kim, Jeong Soo

AU - Lee, Seok Hyong

AU - Kim, Kwang Young

AU - Yoon, Jungsun

PY - 2018

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AB - 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.

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Entity-driven knowledge analytics platform for science and technology

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Keywords

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