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| '''Sponsor': IEEE Computer Society/Learning Technology | '''Sponsor''': IEEE Computer Society/Learning Technology |
Sponsor: IEEE Computer Society/Learning Technology
Title: Recommended Practice for Expressing IEEE Learning Object Metadata Instances Using the Dublin Core Abstract Model
Status: New Standard Project
Project scope: There is an increasing demand for interoperable definitions of Dublin Core Metadata Initiative (DCMI) metadata terms and IEEE Learning Object Metadata (LOM) data elements which allow these to be used together in metadata instances. This Recommended Practice addresses this requirement by describing how to use the definitions of metadata terms defined by the IEEE Standard for Resource Description Framework (RDF) Vocabulary for IEEE Learning Object Metadata (LOM) Data Elements (IEEE Std 1484.12.x-200x) and DCMI metadata terms together in Dublin Core metadata instances. This represents a partial and short-term solution to the overall issue of metadata interoperability in learning, education, and training contexts. The Recommended Practice also aims to inform the longer-term process of trying to align the abstract models of IEEE LOM and DCAM, as it will provide an analysis of fundamental incompatibilities between the two models.
Abstract: This Recommended Practice describes how to construct IEEE Standard for Learning Object Metadata (LOM) (IEEE Std 1484-12.1- 2002) instances using the Dublin Core Abstract Model (DCAM). It describes how to use the definitions of metadata terms defined by the IEEE Standard for Resource Description Framework (RDF) Vocabulary for IEEE Learning Object Metadata (LOM) Data Elements (IEEE Std 1484.12.x-200x) together with DCMI metadata terms for expressing IEEE LOM conforming instances as DCAM description sets. This Recommended Practice does not address the issue of expressing DCAM description sets or DCMI metadata terms using LOM data elements.