A Large Scale, Knowledge Intensive Domain Development Methodology

Abstract

Since time immemorial, organization and visualization has emerged as the pre-eminent natural combination through which abstract concepts in a domain can be understood, imbibed and communicated. In the present era of big data and information explosion, domains are becoming increasingly intricate and facetized, often leaving traditional approaches of know­ledge organization functionally inefficient in dynamically depicting intellectual landscapes. The paper attempts to present, ab initio, a step-by-step conceptual domain development methodology using know­ledge graphs, rooted in the rudiments of interdisciplinary know­ledge organization and know­ledge cartography. It briefly highlights the implementation of the proposed methodology on business domain data, and considers its research ramifications, originality and limitations from multiple perspectives. The paper concludes by summarizing observations on the entire work and particularizing future lines of research.