Using Ontological Engineering to Overcome Common AI-ED Problems

Using Ontological Engineering to Overcome Common AI-ED Problems
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利用本体工程克服常见的 AI-ED 问题

DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
J. Bourdeau
J. Bourdeau
中科院分区：
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文献类型：
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作者：
Riichiro Mizoguchi Isir;J. Bourdeau

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本文讨论了人工智能教育研究的长期前景，旨在从人工智能和教育的角度明确我们需要进一步推动研究。从智能化、概念化、规范化和理论化四个方面分析了人工智能教育的研究现状。在此基础上，提出了具有适当本体的基于本体的体系结构。接下来将讨论IS/ID的本体工程，然后是实现本体感知的创作系统的路线图。还讨论了启发式设计模式和基于xml的文档。
This paper discusses long-term prospects of AI-ED research with the aim of giving a clear view of what we need for further promotion of the research from both the AI and ED points of view. An analysis of the current status of AI-ED research is done in the light of intelligence, conceptualization, standardization and theory-awareness. Following this, an ontology-based architecture with appropriate ontologies is proposed. Ontological engineering of IS/ID is next discussed followed by a road map towards an ontology-aware authoring system. Heuristic design patterns and XML-based documentation are also discussed.