Article,
Enhancement and Migration of Knowledge Science
International Journal of Computer Networks & Communications, 9 (6): 21-31 (November 2017)
DOI: 10.5121/ijcnc.2017.9602
Abstract
In this paper, we present a basis for treating, evaluating and measuring knowledge as an energy acquired by knowledge centric objects in society. The energy level acquired is indicated as their knowledge potential or KnP. Some objects get more charged in the knowledge domain and exhibit a longer and/or more intense energy trail. The Rate of knowledge acquisition, intellectual caliber and need intensity driving to acquire
knowledge all play a role in the knowledge energy (Kenergy) thus acquired. Bounded by established principles of measurement, units, quantification and equations for dealing with knowledge, it becomes amenable to its own (knowledge) science with laws derived from the many disciplines and their own distinctive principles. We fall back on equations from thermodynamics, electrical engineering, fluid mechanics and
transmission theory to quantify the flow-properties of knowledge. Though not completely precise and accurate at this stage of development in the science of knowledge, these disciplines offer a framework for utilizing the wealth of knowledge to stand on the shoulders of many a giant in their respective expertise. In the
computational domain, symbols denote both the tangible and intangible objects and linkages handle the connectivity and updating reflecting an active and dynamic profile of knowledge. Hence, objects in the physical world and their actions become symbols and their interactions become processes in the programming domain.
