Editing Learning Object Metadata: Schema Driven Input of RDF Metadata with the OLR3-Editor

The Institute for Knowledge Based Systems has developed several learning repositories in the last 5 years based on explicit use of metadata and (in the last two years) RDF. Using standard and self-defined metadata schemas to represent the structure and meta-information of learning objects, we decided to make our latest generation of repositories (OLR3) flexible for all kinds of schemes. To provide maximum flexibility we developed a completely schemadriven and browser-based editor in which the author can choose the type of metadata using any kind of RDF-schema available on the WWW to annotate learning resources in the OLR3 repository. In this paper we present the design, interface and implementation of this editor together with the necessary background information about metadata-standards and our learning repository, we build the editor upon.