Contextual Data Representation Using Prime Number Route Mapping Method and Ontology

Different data points have unique relationships among them. These relationships are associated with their positions, association and flow, hence help us to deliver an appropriate meaning. It becomes important to represent these relationships in unique and decodable way to derive the pertinent meaning. Traditional representation mechanisms fail to represent these multi-dimensional associations. There are intent action relationships among various data points. Intent may result into multiple actions. The data representations should be such that it should very effectively and uniquely represent intent action relationships. This research paper delivers a novel representation of Intent-Action Ontology to establish required associations among multiple intents and actions. This research paper proposes a novel method of contextual data representation using prime number route mapping. This approach is based on analyzing multidimensional intent and action relationships. This method can be used to solve many real life problems where intent action representation can throw light on association of events and their chronology.