GEKATOO: A General Knowledge Acquisition Tool

Abstract

In this paper we outline the structure of a tool supporting a knowledge engineer (KE) in the knowledge acquisition process for building Knowledge Based Systems (KBS) for different kind of applications. We believe it is impossible to make a machine performing automatically this process, since too many competences should be transferred from the KE to a computer. In order to develop an effective support system, a model of the KE's knowledge is needed. GEKATOO implements a proposal for such a model, partitioning the expert's knowledge into three areas. The first two are related to the domain of application and the classes of application. The third one enables domain and application independent analysis of the reasoning methods to be used by the KBS to generate new knowledge from the one already present. The result of the application of GEKATOO is a conceptual model of the knowledge needed to implement a KBS solving the task defined by the expert.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA275284

Entities

People

  • Andrea Bonarini
  • Marco Guida
  • Maria C. Gallo

Organizations

  • Polytechnic University of Turin

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computer Programming
  • Computers
  • Expert Systems
  • Foreign Languages
  • Knowledge Based Systems
  • Language
  • Lisp Programming Language
  • Mathematics
  • Models
  • New York
  • Space Sciences
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Defense Technology Research and Development.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.