An exploratory approach to data driven knowledge creation

Abstract This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed enables acquisition insights from data by exploiting existing relationships between diverse types datasets acquired through various modalities. value consistently improves when it can be linked other because linking multiple allows creating novel patterns within scientific space. These enable exploratory analysis , an strategy emphasizes incremental and adaptive access constituting space while maintaining open mind alternative possibilities interconnectivity. A technology, Linked Open (LOD), was developed datasets. We argue LOD technology presents several limitations prevent full exploitation this acquire insights. In paper, we outline researchers dynamically create in research explicit implicit/hidden distributed dynamic strategy.