Statistical packages, optimisation packages and numerical-algorithms libraries are widely used in industrial and scientific development environments. They represent an enormous body of very complex and valuable knowledge that is becoming increasingly difficult to access. End users of these systems h
An architecture for knowledge-based front ends
β Scribed by Ernest Edmonds; Edward McDaid
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 375 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0950-7051
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper describes a knowledge-based front end for the statistics package GLIM 3.77, developed using logic programming methods and tools. The domain of application, computer-based statistical analysis, requires that a changing knowledge base be handled by the system, GLIMPSE. The system is suitabl
This paper describes a knowledge based front-end to a subset of the NAG FORTRAN library (called the Foundation Library) hereafter referred to as KASTLE (Knowledge Assisted Selection Tool for Library Environments). The development of KASTLE has gone through several changes to accommodate technologic
Hypermedia systems and knowledge systems can be viewed as #ip-sides of the same coin. The former are designed to convey information and the latter to solve problems; developments beyond the basic techniques of each system type requires techniques from the other type. In this paper, we introduce the
This paper describes a parallel architecture for semantic network processing. In this architecture, a knowledge base represented in a semantic network form is distributed in the architecture. Solutions for queries are searched for in the entire knowledge base in parallel. A particular application is