An Open Access workflow to Extract, Transform, Map, and Publish dynamic metadata
Miel Vander Sande, Pieter Colpaert, Erik Mannens (Inspired and assisted by: Patrick Hochstenbach, Dries Moreels)
LibreCat is an open collaboration to provide freely available tools for library and research services. It allows a librarian to define a “menu” which can be repeated for dataset extraction, transformation and loading. The DataTank is an Open Source data adapter for publishing Open Data sets.The DataTank is a RESTful data publishing tool. By daisychaning LibreCat and The DataTank’s Input project, we can now also map these data to an ontology and publish the data in a RESTful interface.
The workshop will go deeper into the latter: an ontology will be chosen, a mapping file will be created and a recipe will be scheduled. The data ingested in the triple store (a data base for semantically enriched data), will then be published through a RESTful interface.
Librarians who want the data they are managing lifted towards linked open data.
Knowledge about catmandu/librecat is a plus.