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
T2 - 2010 World Automation Congress, WAC 2010
Y2 - 19 September 2010 through 23 September 2010
ER -