用演化的元数据模式标记学习对象

J. Sierra, Alfredo Fernández-Valmayor
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引用次数: 12

摘要

本文描述了一种用元数据标记学习对象的社会方法。在这种方法中,学习对象的创建者使用元数据模式,随着越来越多的学习对象被标记,该模式扩展了新的类别。这些新类别可供creatatorspsila社区的其他成员使用。该方法还允许创建者重构元数据模式。该机制也足够强大,可以具体化(因此可以与之互操作)现有的元数据规范(例如LOM)。我们已经在Chasqui中测试了这种方法,Chasqui是一个用于生产和部署专门领域学习对象存储库的系统,其中元数据在导航和搜索期间被利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tagging Learning Objects with Evolving Metadata Schemas
This paper describes a social approach to tagging learning objects with metadata. In this approach learning objectspsila creators use a metadata schema that is extended with new categories as more and more learning objects are tagged. These new categories are made available for the rest of the creatorspsila community. The approach also lets creators restructure metadata schemas. The mechanism is also powerful enough to reify (and therefore to interoperate with) existing metadata specifications (e.g. LOM). We have tested this approach in Chasqui, a system for the production and deployment of repositories of learning objects in specialized domains, where metadata are exploited during navigation and search.
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