Knowledge Models, current Knowledge Acquisition Techniques and Developments

The development of intelligent healthcare support systems always requires a formalization of medical knowledge. Artificial Intelligence helps to represent the knowledge in various ways which is a very important part in developing any systems, which in turn leads to precise understanding of knowledge representations. This helps to obtain the solution to the problem very easily. Knowledge engineers make use of a number of ways of representing knowledge when acquiring knowledge from experts. These are usually referred to as knowledge models. Knowledge acquisition includes the elicitation, collection, analysis, modelling and validation of knowledge for knowledge engineering and knowledge management projects. This paper presents an overview of available knowledge models, current knowledge acquisition techniques and also the recent developments to improve the efficiency of the knowledge acquisition process.