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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 466-469
Kyoungrok Jang , School of Computing, KAIST, Daejeon, Republic of Korea
Kangwook Lee , School of Computing, KAIST, Daejeon, Republic of Korea
Gwan Jang , School of Computing, KAIST, Daejeon, Republic of Korea
Seungyong Jung , School of Computing, KAIST, Daejeon, Republic of Korea
Min-Gwan Seo , School of Computing, KAIST, Daejeon, Republic of Korea
Sung-Hyon Myaeng , School of Computing, KAIST, Daejeon, Republic of Korea
ABSTRACT
Detecting and disseminating food hazard information is a critical task that directly affects the public health. In spite of its importance, however, few systems are developed to automatically gather and analyze food hazard information. In this paper, we introduce our preliminary work to build such system. Our final system aims to detect and extract food hazard event from the live data shared on the Web. We defined information template for food hazard event. Then we used the template to extract informative keywords from the website of Ministry of Food and Drug Safety, the governmental organization responsible for ensuring food safety in Korea. We explain our work process, considerations, as well as our future work to implement our system.
INDEX TERMS
Hazards, Data mining, Companies, Media, Feature extraction, Presses
CITATION

Kyoungrok Jang, Kangwook Lee, Gwan Jang, Seungyong Jung, Min-Gwan Seo and Sung-Hyon Myaeng, "Food hazard event extraction based on news and social media: A preliminary work," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 466-469.
doi:10.1109/BIGCOMP.2016.7425972
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