The IEEE Learning Technology Standards Committee has supported work on RAMLET, the Resource Aggregation Model for Learning Education and Training. The model addresses the need for common aggregation ("compound object") formats from the multimedia, library, web and e-learning worlds to interoperate. To do that, RAMLET is a conceptual model, expressed as a human readable table and a set of ontologies that specify how these aggregation formats map to each other, via one core model. The RAMLET model is complete, but has not been implemented yet. As outlined in the use cases document that underpins the RAMLET work, there are a wide variety of ways in which RAMLET could be implemented. Each of these implementations is likely to have different costs and benefits, use software that is more or less mature and is aimed at different use cases. Before the benefits of RAMLET can be realised, therefore, it would be beneficial to list and analyse these different implementation strategies, with a view to scoping future implementation work. Since RAMLET is expressed in a standard ontology language, the outcomes of such a study could benefit other work in the burgeoning field of semantic data engineering. As such, it is likely that this work will complement that being undertaken within and around the 'Object Reuse and Exchange' (OAI-ORE) project as well.