After conducting research on the theoretical foundations of Information Technology and the structure of the different domains of knowledge, for more than twenty five years, Mathew proposed Knowmatics and Knowledge Technology, the two post-IT disciplines in 2005. They aim at bring the entire knowledge scattered into hundreds of domains and millions of books into a unified common digital system by providing the reliable, authentic and specific knowledge modules at different levels to any body at any time and thereby ensuring the growth of Knowledge Industries.
Knowledge Industries would facilitate the creation and delivery of knowledge products and services globally, as a very big business surpassing the entire IT Industry. Knowledge industries are going to revolutionize the entire higher education, scientific research and professional services, challenging the very existence of the conventional university systems and Information Technology.
Knowmatics is the elaboration and application of Mathew’s Theory of Knowledge Consumption - Production Correlation and Mathew’s Stage Theory of Knowledge Consumption - Production Growth. These theories were originally published in 1985 from Moscow by the USSR Academy of Sciences for the FID Committee on Research on Theoretical basis of Information Science. Now they have emerged as new fields for doctoral research with a lot of applications in Skill Acquisition, Scientific Productivity, IT Applications, Linguistics, Education and Cognitive Sciences
Knowmatics is based on Mathew’s Theory of Knowledge Structure which states: “there exists a common structure for all domains of knowledge and each domain consists of thousands of knowledge modules at different levels. Concepts are the building of knowledge modules. The structure of knowledge is essentially non-linear and dynamic. Since Information Technology is founded on algorithms based on linear and static data structure, IT could not enter in the world of knowledge”.
|Keywords:||Knowledge Consumption and Production, Common Structure for all Domains of Knowledge, Algorithms for Knowledge Processing, Knowledge Technology, Knowledge Industry, Revolution in Higher Education, Knowmatics, Knowledge Technology, Knowledge Industry|
President, Knowmatics & Knowledge Technology, Azteca University (Mexico) for UAE & India, Calicut University, Al Ain, United Arab Emirates
EAI/B2B Integration Analyst, EDI,EAI/B2B,SAP, Random House Group, London, UK
This paper has been selected as a Finalist for the Internationale Award for Excellence. The paper examines the revolutionary nature and the long term impacts of Knowmatics in University Teaching, Research and Management besides on the emerging Knowledge Industries with new Professional Knowledge Managers, Knowledge Engineers, Knowledge Workers and Knowledge Experts for providing Value Added Knowledge packages, Solutions and Services. It will also have impacts on all types of Professional Services, Decision Making, Skill Acquisition and Scientific Productivity.