Harmonization methodology for metadata models

Mikael Nilsson (1) , Ambjörn Naeve (1) , Erik Duval (2) , Pete Johnston (3) , David Massart (4)

1 KTH - KTH Royal Institute of Technology [Stockholm]
2 KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven
3 Eduserv Foundation
4 EUN - European Schoolnet

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.

Mots clés: interoperability; eLearning standards

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Education

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