Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/csarven/bfs-linked-data
BFS (Bundesamt für Statistik - Swiss Federal Statistics Office) Linked Data
https://github.com/csarven/bfs-linked-data
dcv linked-data linked-sdmx prov-o rdf rdf-data-cube sdmx semstats statistical-data statistics
Last synced: 22 days ago
JSON representation
BFS (Bundesamt für Statistik - Swiss Federal Statistics Office) Linked Data
- Host: GitHub
- URL: https://github.com/csarven/bfs-linked-data
- Owner: csarven
- License: other
- Created: 2013-02-15T13:04:18.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2014-08-10T19:54:47.000Z (about 10 years ago)
- Last Synced: 2023-03-11T10:42:01.985Z (over 1 year ago)
- Topics: dcv, linked-data, linked-sdmx, prov-o, rdf, rdf-data-cube, sdmx, semstats, statistical-data, statistics
- Language: Shell
- Homepage: http://bfs.270a.info/
- Size: 203 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# BFS Linked Data
Scripts and additional data to realize the http://bfs.270a.info/ dataspace.
The workflow is as follows:
* Retrieve the data from source
* The remaining scripts depend on the SDMX-ML to RDF/XML transformation
using [Linked SDMX](https://github.com/csarven/linked-sdmx). See also
documentation at [Linked SDMX Data](http://csarven.ca/linked-sdmx-data).
* Create N-Triples files for importing to respective named graphs in RDF store
* Import N-triples as well as other enrichments to
[Jena TDB](http://jena.apache.org/documentation/tdb/)
* Create statistics using [LODStats](https://github.com/AKSW/LODStats)
* Create a VoID file (includes LODStats) and import into RDF Store
* Create data dumps
* Import additional metadata to RDF store
* Create post-processing metadata (includes VoID and PROV-O Activities)
* Run [TDB Optimizer](https://jena.apache.org/documentation/tdb/optimizer.html)The additional data included contains the following:
* Interlinks to other datasets
* Vocabulary alignment and other enrichments
* Post-processing metadata