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

    Fingerprint

    Communication
    Information technology
    Managers
    Personnel
    Molecules
    Industry

    Keywords

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

    ASJC Scopus subject areas

    • Control and Systems Engineering

    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]

    Structuralizing complex contextual relations using a biological encoding method. / Kim, Ikno; Chu, Yu Yi; Watada, Junzo.

    2010 World Automation Congress, WAC 2010. 2010. 5665451.

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

    Kim, I, Chu, YY & Watada, J 2010, Structuralizing complex contextual relations using a biological encoding method. in 2010 World Automation Congress, WAC 2010., 5665451, 2010 World Automation Congress, WAC 2010, Kobe, 10/9/19.
    Kim I, Chu YY, Watada J. Structuralizing complex contextual relations using a biological encoding method. In 2010 World Automation Congress, WAC 2010. 2010. 5665451
    Kim, Ikno ; Chu, Yu Yi ; Watada, Junzo. / Structuralizing complex contextual relations using a biological encoding method. 2010 World Automation Congress, WAC 2010. 2010.
    @inproceedings{d7ce5427d1c5479ebf8b4f13bb272dba,
    title = "Structuralizing complex contextual relations using a biological encoding method",
    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.",
    keywords = "Contextual data, Contextual relation, Encoding method, Molecular computation",
    author = "Ikno Kim and Chu, {Yu Yi} and Junzo Watada",
    year = "2010",
    language = "English",
    isbn = "9781424496730",
    booktitle = "2010 World Automation Congress, WAC 2010",

    }

    TY - GEN

    T1 - Structuralizing complex contextual relations using a biological encoding method

    AU - Kim, Ikno

    AU - Chu, Yu Yi

    AU - Watada, Junzo

    PY - 2010

    Y1 - 2010

    N2 - 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.

    AB - 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.

    KW - Contextual data

    KW - Contextual relation

    KW - Encoding method

    KW - Molecular computation

    UR - http://www.scopus.com/inward/record.url?scp=78651432278&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=78651432278&partnerID=8YFLogxK

    M3 - Conference contribution

    AN - SCOPUS:78651432278

    SN - 9781424496730

    BT - 2010 World Automation Congress, WAC 2010

    ER -