DaisyVA: An intelligent interactive visualization platform for visual analysis of multi-facet information

Visual analytics for multi-facet information has become a hot topic recently in research areas related to information visualization and human computer interaction. However, there are few interactive visualization platform and toolkit which can effectively support multi-facet analysis. To address this challenge, this paper presents DaisyVA, an intelligent interactive visualization platform. First, an interface model is established to describe interfaces for multi-facet analysis, which includes three sub-models: data model, visualization model, and control model. Second, the fundamental architecture and key techniques such as model-based prototype generation, runtime framework, and libraries are described. Finally, DaisyVA is applied to a visual analytics application of networked manufacturing enterprise. Experimental results show that DaisyVA is an effective platform to help end-users develop visual analytics applications for multi-facet information.