Data Set Contact
- Hannes Ebner, Royal Institute of Technology (KTH), (hebner@csc.kth.se)
Learning Setting
- Formal Learning
- Workplace Learning
- Informal Learning
- Non-Formal Learning
Application/Environment
The SCAM framework makes it possible to describe information resources with extensive metadata, to
harvest metadata repositories and offers a way of publishing the harvested metadata under Linked
Data principles. These metadata can be built upon, extended and contextualised using the same
framework. These harvested and converted repositories are exported as self-contained RDF datasets
using well-described vocabularies and mappings which makes further processing such as importing
into random RDF stores and querying using SPARQL endpoints possible. Possible use cases can be
found within recommender systems and other data-dependent research areas.
The learning resources were annotated in the course of the EC-funded eContentplus project
Organic.Edunet. Currently a big amount of RDF triples (more than 10 million) describing around
11.000 Organic.Edunet learning resources are available. Additionally, external metadata instances
e.g. from the ARIADNE federation were imported and converted into RDF.
Data Set Coverage
The data sets include complete learning resource descriptions in RDF.
Organic.Edunet data sets originate from different repository installations and provide approx. 11.000
metadata graphs describing educational resources. The repository installations are hosted by the
Agricultural University of Athens, the Austrian Federal Ministry of Education and Culture, the Greek
Research and Technology Network, and the Royal Institute of Technology in Sweden.
In addition, ARIADNE was harvested and converted into RDF, resulting in approx. 10 million triples
and 190.000 metadata graphs in RDF.
Legal Protection/Access Policy
The data sets are available for the public.
Links
dataset
Last updated 548 days ago by Guenter Beham
