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

This paper describes the knowledge elicitation and knowledge representation 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 conventional algorithmic components. In addition, the domain contains multiple experts, but any given expert's knowledge of this large domain is only partial. The paper discusses the methods and techniques used for knowledge elicitation, which was based on a ''broad and shallow'' approach at first, moving to a ''narrow and deep'' one later, and describes the models used for knowledge representation, which were based on a layered ''generic and variants'' approach.