The Knowledge Puzzle: An integrated approach of intelligent tutoring systems and knowledge management

被引：0
|
作者：
Zouaq, Amal [1 ]
Nkambou, Roger [2 ]
Frasson, Claude [1 ]
机构：
[1] Univ Montreal, CP 6128,Succ Ctr Ville, Montreal, PQ H3C 3J7, Canada
[2] Univ Quebec Montreal, Montreal, PQ H3C3P8, Canada
来源：
ICTAI-2006: EIGHTEENTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present The Knowledge Puzzle, an ontology-based platform designed to facilitate domain knowledge acquisition for knowledge-based systems and especially for intelligent tutoring systems. We present a new content model, the Knowledge Puzzle Content Model, that aims to create Learning Knowledge Objects (LKOs) from annotated content. Annotations are performed semi-automatically using natural language processing algorithms. These LKOs are then aggregated in an Organizational memory (OM) which serves as a knowledge base for an Intelligent Tutoring System (ITS).
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页码：575 / +
页数：3
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