Accident prevention system based on semantic network

Jian Xiong Yang*, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    As humans handle huge and dynamic information in their daily life, such information is structurally complex and ever growing. Nowadays, the most typical information should be the World Wide Web. It is a fertile knowledge sea which humans encounter in their life individually as well as in business. Therefore, Web mining is one of most important techniques. A new generation of web mining techniques is developed to analyze Web information by means of searching, recommending, surfing and visualizing the Web. A semantic network is one of new ways for web content mining which takes advantage for both of a fuzzy logical search and semantic analysis. The objective of this paper is to build an accident prevention system by means of the semantic network. The system is built from a number of ranking algorithms based on generality and novelty measures extracted from an accident database.

    本文言語English
    ホスト出版物のタイトルProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
    ページ3738-3743
    ページ数6
    7
    DOI
    出版ステータスPublished - 2008
    イベント7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming
    継続期間: 2008 7 122008 7 15

    Other

    Other7th International Conference on Machine Learning and Cybernetics, ICMLC
    CityKunming
    Period08/7/1208/7/15

    ASJC Scopus subject areas

    • 人工知能
    • 人間とコンピュータの相互作用
    • 制御およびシステム工学

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