ISSN 1002-1027  CN 11-2952/G2

Acta scientiarum naturalium Universitatis Pekinensis

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Relational Knowledge Representation Model in Intelligent Tutor System

WANG Lu1, WANG Meihua2   

  1. 1Department of Computer Science, Capital Normal University, Beijing, 100037;2Department of Geophysics, Peking University, Beijing, 100871
  • Received:1999-10-18 Online:2000-09-20 Published:2000-09-20

Abstract: The knowledge representation is a key aspect in the computer Intelligent Tutor System(ITS), which determines the effect of the inference process. Moreover, it is necessity of the combination of the knowledge base with the teaching material base in ITS because it contains a lot of multimedia data. In this paper, a discussion of construction of the knowledge base by the relational model(RM) is presented. We analyze the knowledge into groups, each one called a knowledge point. Then, use RM to organize the knowledge points to form two databases;one is called the attribute database, and the other called linkage database. The attribute database gives each knowledge point attributes and a link to the teaching material base, while the linkage database describes the relation among knowledge points. This linkage database is suitable for ratiocination. In order to build the systematic teaching courses, we construct a strategy database. As an example, we discuss the knowledge representation of the cone section in the mechanical drawing class.