Knowledge-engineering software. A demonstration of a high-end tool

Many investigators wanting to apply knowledge-based systems (KBSs) as consultants for cancer diagnosis have turned to tools running on personal computers. While some of these tools serve well for small tasks, they lack the power available with such high-end KBS tools as KEE (Knowledge Engineering Environment) and ART (Automated Reasoning Tool). These tools were originally developed on Lisp machines and have the full functionality of the Lisp language as well as many additional features. They provide a rich and highly productive environment for the software developer. This paper illustrates the capability of one of these high-end tools. First, a table showing the classification of benign soft tissue tumors was converted into a KEE knowledge base. The tools available in KEE were then used to identify the tumor type for a hypothetical patient.