Purpose Driven Modelling and Analysis for Smart Table Fill and Design based on DIKW

In interactive form filling between the form-filler and the form, there are various uncertain challenge related to interpretability, credibility and reliability resulting abuse of privacy and infringement of right. We map subjective cognition of stakeholders and objective table content uniformly as typed data, information, knowledge, wisdom and purpose graphs in form-filling. We propose purpose-driven or purpose oriented traversing to construct a semantic cognitive graph from the subjective DIKWP of stakeholders. We strategically map conceptual-semantic cognition-related uncertainties in form filling interaction processing to difference of DIKWP Graphs' representations of participants. Through identification and reducing the unexpected content originating in inconsistent, incomplete, inaccurate, and insufficient resource interaction, we use connectivity and length of routines in DIKWP graphs to confirm the existence of transformations and express the cognitive distance and computational reasoning distance of problem solutions.