Automatic extraction of ontologies from teaching document metadata

J. Kay, S. Holden
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引用次数: 24

Abstract

SITS (Scrutable Intelligent Teaching System) is designed to make use of existing learning items in flexible and effective learning interactions. The reuse of pre-existing resources is important since creating new learning resources is a time consuming task which requires a skilled author. The Internet also provides a large number of resources for reuse. A major hurdle for reuse is metadata, especially epistemological metadata since different teachers or courses may have different ontologies for a given domain. SITS takes a minimalist approach to metadata. It requires only that the author of a teaching environment should define document metadata specifying the concepts which each document teaches, requires, and uses.
从教学文档元数据中自动提取本体
sit(可伸缩智能教学系统)旨在利用现有的学习项目进行灵活有效的学习互动。重用已有的资源非常重要,因为创建新的学习资源是一项耗时的任务,需要熟练的作者。Internet还提供了大量可供重用的资源。重用的主要障碍是元数据,特别是认识论元数据,因为不同的教师或课程对于给定的领域可能有不同的本体。sit采用一种极简的元数据处理方法。它只要求教学环境的作者定义文档元数据,指定每个文档教授、要求和使用的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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