Abstract
During the last years a series of repositories containing leaning
contents for architecture have been created. With all these repositories
financed, designed, implemented and maintained independently of
each other, valuable and expensive information contained in the repositories
lies — scattered over several European countries — in several
thousand learning objects.
With each single repository holding its own set of learning objects and
metadata schemas describing them and not being connected to others,
the contents are unnecessary hard to find and cannot be used to the full
extent possible. This is part due to legal and part to technical difficulties.
In MACE, we aim to overcome these issues and create an infrastructure
to enable the discovery and identification of learning objects all across
different repositories in a uniform way.
Original language | English |
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Publication status | Published - 1 Jul 2007 |
Keywords
- metadata
- context metadata
- competence and process metadata
- content and domain metadata
- Usage Related and Social metadata
- metadata enrichment
- MACE project
- Architectural content