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Harmonization methodology for metadata models

Abstract : Metadata allows systems, applications and users to manage and access resources without a need for interaction with the resource itself. For this reason, the administration and exchange of metadata is a central activity in systems that manage learning objects. Metadata considerations are fundamental when creating interoperable e-learning tools, and metadata standards have been among the very first learning technology standards to mature. This deliverable analyses a number of existing metadata specifications in order to isolate the reasons and issues behind harmonization problems. By making these issues explicit, we hope to contribute towards producing a benchmark against which possible solutions can be measured. The deliverable also discusses the potential of a solution based on harmonization of the various abstract models used in the metadata specifications.
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https://hal.archives-ouvertes.fr/hal-00591548
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Submitted on : Tuesday, May 10, 2011 - 12:48:32 PM
Last modification on : Tuesday, September 17, 2019 - 10:36:40 AM
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  • HAL Id : hal-00591548, version 1

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Mikael Nilsson, Ambjörn Naeve, Erik Duval, Pete Johnston, David Massart. Harmonization methodology for metadata models. 2008. ⟨hal-00591548⟩

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