Sponsor: IEEE Computer Society/Learning Technology
Title: Standard for Resource Description Framework (RDF) Vocabulary for IEEE Learning Object Metadata (LOM) Data Elements
Status: New Standard Project
Project scope: There is an increasing demand for definitions of IEEE Learning Object Metadata (LOM) data element semantics which allow the expression of IEEE LOM instances in applications using Semantic Web technologies such as the Resource Description Framework (RDF). For some data elements, this expression can be achieved using existing, stable RDF vocabularies. The purpose of this Standard is to define the semantics of data elements not covered by such vocabularies. This Standard forms an important basis for making IEEE LOM useful in this larger metadata context.
Abstract: This Standard defines a Resource Description Framework (RDF) vocabulary to express the semantics of data elements of the LOMv1.0 base schema of IEEE Standard for Learning Object Metadata (LOM) (IEEE Std 1484-12.1-2002). The Standard makes use of modeling primitives from the RDF Vocabulary Description Language (RDF Schema) and the Dublin Core Abstract Model (DCAM). The Standard includes the specification of RDF terms, including properties, classes, vocabularies, syntax encoding schemes and vocabulary encoding schemes, covering the semantics of data elements defined in IEEE LOM. The Standard includes the specification of URIs to use to identify the terms. The Standard does not define new terms for data elements that can be appropriately expressed using sufficiently stable, existing RDF vocabularies (notably Dublin Core). This Standard does not address the construction of conforming IEEE LOM instances using RDF technology.