INTEGRATION OF MULTIPLE KNOWLEDGE REPRESENTATION FOR CLASSIFICATION PROBLEMS

This paper describes an approach to integrating various knowledge repr esentations for classification problems. Knowledge representation form s have been analysed, The analysis shows that representation suitabili ty depends on a given situation. Therefore, multiple representation fo rm capability and form conversion capability are both necessary to sup port developing knowledge bases for wide application areas. A classifi cation problem tool, called HOLON/VP(DT), has been developed with the aim of providing experts with the integrated knowledge representation capability. A knowledge base can be represented in a tabular form, a r ule form and a tree form. Form conversion can be accomplished at all t imes. With this integrated representation, an expert is able to build a knowledge base using the most appropriate form.