Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique

Shao Yu Wang; Owen H.T. Lu; Wen Long Lee; Tosti H.C. Chiang; Wan Sheng Su; Ming Chao Lin; Stephen J.H. Yang

doi:10.1109/IIAI-AAI.2017.181

Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique

Shao Yu Wang, Owen H.T. Lu, Wen Long Lee, Tosti H.C. Chiang, Wan Sheng Su, Ming Chao Lin, Stephen J.H. Yang

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Scientific exhibition in Taiwan has been held by National Taiwan Science Education Center for more than 55 years, more than 15,000 works has been accumulated. It also becomes a famous competition for K-12 students. In order to provide recommendation of research topic to the participating students, domain experts require the growth topic and related industry from the past works. However, with the long history of the scientific exhibition, the domain experts cannot interpret all of the works in the short term. Therefore, through the computer to explore and summarize a large number of works becomes an emerging technology. In this study, we applied text-mining technology, and designed an expert rules as a computer-enabled methodology to explore the correlation between scientific exhibition and industry in the earth science and physics category. In the result, you can observe the computer programming and real estate development industries were the most growing research topic in scientific exhibition.

Original language	English
Title of host publication	Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
Editors	Kiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	477-481
Number of pages	5
ISBN (Electronic)	9781538606216
DOIs	https://doi.org/10.1109/IIAI-AAI.2017.181
State	Published - 15 Nov 2017
Event	6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, Japan Duration: 9 Jul 2017 → …

Publication series

Name	Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

Conference

Conference	6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
Country/Territory	Japan
City	Hamamatsu, Shizuoka
Period	9/07/17 → …

Keywords

Big-Data Analysis
Scientific Exhibition
Text Mining

Access to Document

10.1109/IIAI-AAI.2017.181

Cite this

Wang, S. Y., Lu, O. H. T., Lee, W. L., Chiang, T. H. C., Su, W. S., Lin, M. C., & Yang, S. J. H. (2017). Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. In K. Hashimoto, N. Fukuta, T. Matsuo, S. Hirokawa, M. Mori, & M. Mori (Eds.), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 (pp. 477-481). Article 8113291 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2017.181

Wang, Shao Yu ; Lu, Owen H.T. ; Lee, Wen Long et al. / Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. editor / Kiyota Hashimoto ; Naoki Fukuta ; Tokuro Matsuo ; Sachio Hirokawa ; Masao Mori ; Masao Mori. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 477-481 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017).

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abstract = "Scientific exhibition in Taiwan has been held by National Taiwan Science Education Center for more than 55 years, more than 15,000 works has been accumulated. It also becomes a famous competition for K-12 students. In order to provide recommendation of research topic to the participating students, domain experts require the growth topic and related industry from the past works. However, with the long history of the scientific exhibition, the domain experts cannot interpret all of the works in the short term. Therefore, through the computer to explore and summarize a large number of works becomes an emerging technology. In this study, we applied text-mining technology, and designed an expert rules as a computer-enabled methodology to explore the correlation between scientific exhibition and industry in the earth science and physics category. In the result, you can observe the computer programming and real estate development industries were the most growing research topic in scientific exhibition.",

keywords = "Big-Data Analysis, Scientific Exhibition, Text Mining",

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Wang, SY, Lu, OHT, Lee, WL, Chiang, THC, Su, WS, Lin, MC & Yang, SJH 2017, Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. in K Hashimoto, N Fukuta, T Matsuo, S Hirokawa, M Mori & M Mori (eds), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017., 8113291, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 477-481, 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, Hamamatsu, Shizuoka, Japan, 9/07/17. https://doi.org/10.1109/IIAI-AAI.2017.181

Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. / Wang, Shao Yu; Lu, Owen H.T.; Lee, Wen Long et al.
Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. ed. / Kiyota Hashimoto; Naoki Fukuta; Tokuro Matsuo; Sachio Hirokawa; Masao Mori; Masao Mori. Institute of Electrical and Electronics Engineers Inc., 2017. p. 477-481 8113291 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique

AU - Wang, Shao Yu

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AU - Su, Wan Sheng

AU - Lin, Ming Chao

AU - Yang, Stephen J.H.

PY - 2017/11/15

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AB - Scientific exhibition in Taiwan has been held by National Taiwan Science Education Center for more than 55 years, more than 15,000 works has been accumulated. It also becomes a famous competition for K-12 students. In order to provide recommendation of research topic to the participating students, domain experts require the growth topic and related industry from the past works. However, with the long history of the scientific exhibition, the domain experts cannot interpret all of the works in the short term. Therefore, through the computer to explore and summarize a large number of works becomes an emerging technology. In this study, we applied text-mining technology, and designed an expert rules as a computer-enabled methodology to explore the correlation between scientific exhibition and industry in the earth science and physics category. In the result, you can observe the computer programming and real estate development industries were the most growing research topic in scientific exhibition.

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Wang SY, Lu OHT, Lee WL, Chiang THC, Su WS, Lin MC et al. Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. In Hashimoto K, Fukuta N, Matsuo T, Hirokawa S, Mori M, Mori M, editors, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 477-481. 8113291. (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). doi: 10.1109/IIAI-AAI.2017.181

Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique

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