Toward a Realization of Knowledge Creation Grid for Big Data Era

We represent a new framework - Knowledge creation grid for Big data era. Currently, there are various types of data in various fields. The essences of ICT are "scale merit," "scope merit," and "connection merit." The Big data itself represents "scale merit" and "scope merit," because there are massive of data and these data are utilized in various fields. However, the aspect of the "connection merit" in big data has not represented. To lead to value creation from such data, it is important to interconnect data set among heterogeneous fields. We propose Knowledge creation grid as the one method of interconnection for data set. Almost correlation between data sets are discovered by synchronization or co-occurring on spatiotemporal. We, persons discover correlation from the meaning of data. In this framework, a meaningful data set is abstracted and represented as knowledge. This abstraction as knowledge is possible to discover various effective correlations by diversity and consensus building. In this paper, we represent a whole design of Knowledge creation grid and its primitive functions to realize diversity and consensus building.