电子学习应用中元数据从标准到语义的演变

Hend Suliman Al-Khalifa, H. Davis
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引用次数: 93

摘要

元数据试图描述数据的内容、格式、用途和结构。在过去的几年中,IEEE-LOM标准在电子学习应用程序的元数据世界中占据了主导地位。然而,随着语义Web的出现,电子学习应用程序开始通过添加语义结构或完全转换为结构的语义表示来从这些标准发展其元数据表示。这种转变使一系列新工具能够实现,这些工具可以对元数据进行推理,从而从存储的数据中提供附加价值。本文总结了电子学习应用中使用的元数据从标准到语义表示的演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The evolution of metadata from standards to semantics in E-learning applications
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning applications. However, with the advent of the Semantic Web, e-learning applications are beginning to evolve their metadata representation from these standards by adding semantic structure or by converting entirely to semantic representations of structure. This shift enables the implementation of a range of new tools which can reason over the metadata, providing added value from the stored data. This review paper summarizes this evolution of metadata used in e-learning applications from standards to semantic representation.
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