Structuralizing complex contextual relations using a biological encoding method

Ikno Kim, Yu Yi Chu, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper proposes a new method of contextual data analysis to structuralize complex communications using an encoding method composed of biological molecules. In a modern and advanced information technology society, managers, executives, employees, and other related business and organizational groups or departments often need to exchange and provide information with each other about the complex contexts of issues in their communications. In this case, a large number of contexts often emerge and need to be clearly organized and structured. This study focuses mainly on the large volume of contextual relations that can be resolved using a biological encoding method.

    Original languageEnglish
    Title of host publication2010 World Automation Congress, WAC 2010
    Publication statusPublished - 2010
    Event2010 World Automation Congress, WAC 2010 - Kobe
    Duration: 2010 Sep 192010 Sep 23

    Other

    Other2010 World Automation Congress, WAC 2010
    CityKobe
    Period10/9/1910/9/23

    Keywords

    • Contextual data
    • Contextual relation
    • Encoding method
    • Molecular computation

    ASJC Scopus subject areas

    • Control and Systems Engineering

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  • Cite this

    Kim, I., Chu, Y. Y., & Watada, J. (2010). Structuralizing complex contextual relations using a biological encoding method. In 2010 World Automation Congress, WAC 2010 [5665451]