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The evolution of metadata from standards to semantics in E-learning applications

Published: 22 August 2006 Publication History

Abstract

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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      cover image ACM Conferences
      HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia
      August 2006
      178 pages
      ISBN:1595934170
      DOI:10.1145/1149941
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 22 August 2006

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      Author Tags

      1. E-learning
      2. semantic metadata
      3. standard metadata

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      HT06: 17th Conference on Hypertext and Hypermedia
      August 22 - 25, 2006
      Odense, Denmark

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      • (2019)Automatic Question Tagging with Deep Neural NetworksIEEE Transactions on Learning Technologies10.1109/TLT.2018.280818712:1(29-43)Online publication date: 1-Jan-2019
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