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An Early Warning Support System for Food Safety Risks

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New Frontiers in Artificial Intelligence (JSAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4012))

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Abstract

An early warning support system for food safety risks is developed. This system is designed for people to facilitate the detection of signs of risks from a variety of documents that are scattered in the WWW. This system comprises two parts—clearinghouse and the Risk Path Finder. The former is a database of documents related to food safety risks, which are retrieved from the WWW by using Google Web APIs. The latter visualizes the relationship between terms and documents and enables users to find the paths from sources to risk events. For this function, the system utilizes GETA, the generic engine for transposable association, and DualNAVI, a user interface for text retrieval by using GETA.

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References

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Author information

Authors and Affiliations

  1. Department of Systems Engineering, Shizuoka University, 3-5-1 Johoku, Hamamatsu, Shizuoka, 432-8561, Japan

    Yasunobu Maeda & Norio Kurita

  2. Professor Emeritus, University of Tsukuba, Japan

    Saburo Ikeda

Authors
  1. Yasunobu Maeda
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  2. Norio Kurita
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  3. Saburo Ikeda
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Editor information

Editors and Affiliations

  1. ISIR, Osaka University, 8-1, Mihogaoka, 567-0047, Osaka, Ibaraki, Japan

    Takashi Washio

  2. CREST, Japan Science and Technology Agency, Japan

    Akito Sakurai

  3. Dept. of Information Media, Tokyo Denki University, room 1009, 10th floor, building 11, 2-2, Kandanishikicho, Chiyodaku, 101-8457, Tokyo, Japan

    Katsuto Nakajima

  4. National Institute of Informatics, 2-1-2 Chiyoda-ku, 101-8430, Tokyo, Japan

    Hideaki Takeda

  5. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Satoshi Tojo

  6. Department of ISEE, Kyushu University, 819-0395, Fukuoka, Japan

    Makoto Yokoo

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© 2006 Springer-Verlag Berlin Heidelberg

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Maeda, Y., Kurita, N., Ikeda, S. (2006). An Early Warning Support System for Food Safety Risks. In: Washio, T., Sakurai, A., Nakajima, K., Takeda, H., Tojo, S., Yokoo, M. (eds) New Frontiers in Artificial Intelligence. JSAI 2005. Lecture Notes in Computer Science(), vol 4012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780496_47

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  • DOI: https://doi.org/10.1007/11780496_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35470-3

  • Online ISBN: 978-3-540-35471-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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