第41回 日本創造学会研究大会

2019年9月28日(土)・29日(日) 於:北陸先端科学技術大学院大学

  • JASI Fab
  • まつさき
  • JAIST GATE
  • JAIST
  • JAISTギャラリー

KEYNOTE SPEAKER in the International Session

Dr. Xijin Tang

Institute of Systems Science Academy of Mathematics & Systems Science Chinese Academy of Sciences

Facilitate Products Quality Supervision based on Internet Media

Sep. 29. 15:10-16:00 / School of Knowledge Science 6F - Collaboration Room 3

ABSTRACT

Dr. Xijin Tang is a professor at the Key Lab on Management, Decision-Making and Information Systems, Institute of Systems Science, Social stability is of great importance along the harmonious society development in China. To acquire the fresh news from the Internet is becoming one of important way for the administrative unites or the government to know the state of the society, economic system, environment, etc. To facilitate the state administration on product quality supervision to conduct more effective product sampling, new way is studied. As one exploratory approach, the product notices, news from the Web sites, BBS posts, hot news search words, etc. are used to generate the relevant quality map of the concerned products published released on the Internet by natural language processing technologies. This talk will introduce the working procedure and illustrate quality maps of different categories of products based on different Internet sources. Moreover, an original group of 47 terms describing the risks of product quality incidents is expanded by finding the similar words from the Tianya corpus with a vocabulary of around 273 thousand words contributing to 1,895,410 original posts and over 24 million occurrences. All words are trained into vectors using the word2vec model. With the expanded set of words of product quality risks, relevant products risks can be perceived from those Internet media. Such a way does not reply on the traditional approach and is expected to help the state administration to make plan for product sampling for quality supervision, improve the product quality risk awareness and enhance the response toward product quality problems.

Keywords:Product quality supervision, crawler, natural language processing, word2vec, product quality map, product quality risk, Internet media

BIOGRAPHY

Dr. Xijin Tang is a professor at the Key Lab on Management, Decision-Making and Information Systems, Institute of Systems Science, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, China. She is also an adjunct professor at the School of Economics and Management, University of Chinese Academy of Sciences. She received a bachelor’s degree in computer science and engineering from Zhejiang University in 1985, a master’s degree in management science and engineering from the University of Science and Technology of China in 1992, and a doctoral degree in management science and engineering from the Institute of Systems Science, Chinese Academy of Sciences (CAS) in 1995. She developed several decision support systems for water resource management, weapon system evaluation, e-business evaluation, etc. during her early system research and practice. Her recent research interests include: meta-synthesis and advanced modeling, opinion dynamics and opinion mining, social network analysis and dynamic modeling, knowledge management and support systems, systems approaches to societal complex problems, etc. Her co-authored papers won best paper (poster) awards at SociComp2014, BESC 2015, WISA2018, etc. She was one of 30 invited keynote speakers selected from about 200 nominations with an extensive and rigorous process adopted by the Systems Analysis 2015 Vienna, jointly organized by IIASA, INFORMS, SFI and NTU Complexity Institute. She has co-edited KSS proceedings published by Springer in recent 3 years.
Now Professor Tang is the Vice President and General Secretary of the International Society for Knowledge and Systems Sciences (ISKSS), General Secretary of the Systems Engineering Society of China (SESC). She serves for the editorial board of Journal of Systems Science and Systems Engineering, Journal of Systems Science and Complexity, Systema, Systems Engineering: Theory and Practice, Chinese Journal of Systems Engineering, Chinese Journal of Systems Science and Mathematical Science.

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