Associate Professor Temitope Egbelakin awarded DFAT COALAR Funding
A/Prof Temi Egbelakin and her team (Prof SueAnne Ware, Dr Sittimont Kanjanabootra, Dr Sandra Carrasco, Dr Olabode Ogunmakinde and Mr…
The Knowledge Engineering Research Team (KERT) brings together academics at the University of Newcastle who have research interests in knowledge engineering, smart knowledge management systems, multi-agent agents, knowledge-based embedded systems and augmented reality.
Typically, decisional experiences are not stored, unified, improved, reused, shared, or distributed. This fact motivated our research that aims at capturing, improving and reusing the vast amount of knowledge amassed in past decisional experience.
In nature, deoxyribonucleic acid (DNA) contains "...the genetic instructions used in the development and functioning of all known living organisms. The main role of DNA molecules is the long-term storage of information. DNA is often compared to a set of blueprints and the DNA segments that carry this genetic information are called genes" . The idea behind our research is to develop an artificial system, an architecture that would support discovering, adding, storing, improving and sharing information and knowledge among agents and organisations through experience. We propose a novel Knowledge Representation (KR) approach in which experiential knowledge is represented by Set of Experience (SOE), and is carried into the future by Decisional DNA (DDNA) [2, 3]. Using SOE and DDNA, we further establish principles and the concept of global e-Decisional Community and Knowledge Cloud.
Our use of the analogy between the combination of the four nucleotides of DNA and the four components that characterise decision making actions (variables, functions, constraints, and rules) is unique and innovative. Some of the principles for such integration and uniqueness from the perspective of capturing experience and history of decision making in an organisation has been mentioned by others (e.g.JC Elliott and TJ Elliot (2005) "Decision DNA", Infinity: PA) but has never evolved into detailed research project as developed by our group. The DNA metaphor has also been used successfully in terms of formalising organisational knowledge in stipulations of organisation performance (decision rights, information, motivators, and structure). In this sense the proposed Decisional DNA complements and significantly expands these directions of Knowledge Engineering research and adds formalisation for its technological aspects. Using SOEKS and Decisional DNA we develop a smart experience and knowledge management platform and then expand the developed framework into global e-Decisional collaborative community. Thus, our research has the following overall goal:
Develop a decisional experience-based smart knowledge management platform and expand the platform towards e-Decisional Community and Knowledge Cloud
Sinden, R.R. (1994):DNA Structure and Function . San Diego: Academic Press.
 C Sanin and E Szczerbicki,Application of a Multi-domain Knowledge Structure: The Decisional DNA, in Intelligent Systems for Knowledge Management. Springer-Verlag 2009, pp. 65-86.  Sanin, C. and Szczerbicki, E.
Experience-Based Knowledge Representation SOEKS. In Cybernetics and Systems: An International Journal, Taylor and Francis, 2009, Vol. 40(2), pp. 99-122.
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