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Skills shortages globally pose a real and urgent need for proper investigation and workforce development planning into the future. Analysing workforce development and employer demand needs through electronic job market allows much deeper and wider research into skill shortages. Current methods do not provide the level of depth required to address such important economic implications. In this paper, we present a system aiming to gather and analyse current employer demand information from online job advertisements. It identifies current employer demand needs analysed from electronic job market. for the representation and sharing of knowledge about a domain, by modelling concepts and the relationships among those concepts within the domain (Gruber [29]). 472C. TERBLANCHE AND P. WONGTHONGTHAM

The series "Studies in Systems, Decision and Control" (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control-quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer science, physics, economics, social and life sciences, as well as the paradigms and methodologies behind them. The series contains monographs, textbooks, lecture notes and edited volumes in systems, decision making and control spanning the areas of Cyber-

It has become evident in recent times that curriculums do not sufficiently cover the expected employment skill needs of graduates to be job ready directly post obtaining their qualifications. In order to assure an appropriately trained and job ready graduate workforce, it is imperative that employer expectations are incorporated into curriculums offered to students who are hoping to be trained for professional advancement. Current data gathering methods of employer expectations are time, cost and labour intensive resulting in missmatched skill sets for graduates. This paper introduces employer demand ontology currently being developed which will enable employer demand expectations to be accurately and continuously identified and incorporated into specific curricula through the use of artificial intelligence.

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