A Proposed Research Program in Strategic Computing. KREP2
Abstract
The task of the Knowledge Representation Project was to develop a next-generation knowledge representation system for reasoning about declarative knowledge structures, together with a programming language that supports multiple programming paradigms. These features are implemented in a system called LOOM. A primary goal of the LOOM system was to develop tools and techniques that promote sharing and reuse of knowledge bases. LOOM's reasoning architecture centers around an inference engine called a concept classifier. A classifier is able to automatically organize definitional knowledge and constraint rules into hierarchies. it detects inconsistencies within a knowledge base, and it enables a richer class of deductive inferencing than that supported by traditional expert technology. The LOOM system is enabling the transition of classifier technology to a much wider class of users, where it provides a valuable service in organizing and validating knowledge-based applications. The LOOM system has also demonstrated the feasibility of combining a number of different programming paradigms within a single programming language.... Knowledge representation, Knowledge base management system, Sharable knowledge bases, Concept classifier, Multiple paradigm programming.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 31, 1992
- Accession Number
- ADA266135
Entities
People
- Robert M. Macgregor
Organizations
- University of Southern California