From Data to Knowledge Graphs: A Multi-Layered Method to Model User's Visual Analytics Workflow for Analytical Purposes

Abstract

Fig. 1. VAKG unfolds the interactions between the current knowledge model (A) into an interaction state-machine over time (B), which is then converted to a 4-way graph (C) which has two temporal sequences as Temporal Knowledge Graphs (TKGs) and two static Knowledge Graphs (KGs). VAKG represents knowledge generation and computer data mining and visualization as a structured graph with both temporal and static aspects for analytical purposes.