SEEK2: a generalized approach to automatic knowledge base refinement
Allen S. Ginsberg, Sholom M. Weiss, Peter Politakis · 1985
This paper describes an approach to knowledge base refinement, an important aspect of knowledge acquisition. Knowledge base refinement is characterized by the addition, deletion, and alteration of rule-components in an existing knowledge base, in an attempt to improve an expert system's performance. SEEK2 extends the capabilities of its predecessor rule refinement system. SEEK [1], In this paper we describe the progress we have made since developing the original SEEK program: (a) SEEK2 works with a more general class of knowledge bases than SEEK, (b) SEEK2 has an "automatic pilot " capability, i.e., it can, if desired, perform all of the basic tasks involved in knowledge base refinement without human interaction, (c) a metalanguage for knowledge base refinement has been specified which describes both domain-independent and domain-specific metaknowledge about the refinement process.