KNOWLEDGE ELICITATION AND KNOWLEDGE REPRESENTATION IN A LARGE DOMAIN WITH MULTIPLE EXPERTS

This paper describes the knowledge elicitation and knowledge represent ation aspects of a system being developed to help with the design and maintenance of relational data bases. The size and complexity of this domain mean that the system requires both knowledge-based and conventi onal algorithmic components. In addition, the domain contains multiple experts, but any given expert's knowledge of this large domain is onl y partial. The paper discusses the methods and techniques used for kno wledge elicitation, which was based on a ''broad and shallow'' approac h at first, moving to a ''narrow and deep'' one later, and describes t he models used for knowledge representation, which were based on a lay ered ''generic and variants'' approach.