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.

Intended audience:

Librarians who want the data they are managing lifted towards linked open data.


Knowledge about catmandu/librecat is a plus.

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