latest(Dockerfile)server(Dockerfile)
DEER is the RDF Data Extraction and Enrichment Framework. It is open source and available on GitHub
The volume /volume/data needs to be bound to a directory on your hosts FS containing a configuration file for DEER and possibly other files referenced by the configuration. DEER will output files in the same directory. In this example, the volume is bound to /path/to/working/dir. We use the example configuration file from the official repository, which you can get with
$ cd /path/to/working/dir
$ wget https://raw.githubusercontent.com/SLIPO-EU/DEER/master/datasets/1/config.ttl
Now that your configuration file exists in /path/to/working/dir/config.ttl we can run DEER:
$ docker run -i --name deer -v /path/to/working/dir:/volume/data --rm aksw/deer ./config.ttl
By default, we assume a configuration file in the root of the mounted volume named config.ttl, so in this case we can leave out the last argument:
$ docker run -i --name deer -v /path/to/working/dir:/volume/data --rm aksw/deer
After DEER terminates, its output files are written to /path/to/working/dir.
Map the private port 4567 to a public port on your host and you are good to go.
$ docker run -d --restart=always -p 4567:8080 aksw/deer:server
You can now submit a config file and will receive an unique job id:
$ wget https://raw.githubusercontent.com/SLIPO-EU/DEER/master/datasets/1/config.ttl
$ curl --form "config_file=@./config.ttl" localhost:8080/submit
123456
Once the job execution finishes, you can retrieve the output files that were declared in your configuration as follows:
curl localhost:8080/:jobid/:filename
In our example this would be:
curl localhost:8080/123456/output.ttl