spendpoint 0.5.1

SPARQL endpoint for ontologies.

Creates a SPARQL endpoint supporting custom services. The default access point is at http://127.0.0.1:8000. This endpoint can be configured in the configuration.toml file. The docker image created uses uvicorn the host the application at 0.0.0.0:80. Feel free to map this to any port of your liking.

Bound services

We currently support 4 bind services out of the box:

dtf:outlier
dtf:example
dtf:conversion
dtf:cell

The outlier service relies on another endpoint which needs to be set up and accessible.

PREFIX dtf: <https://ontology.rys.app/dt/function/>
SELECT ?cell ?cell_value WHERE {
  SERVICE <http://localhost:8000/> {BIND(dtf:cell("data/example.csv", 0, 0) AS ?cell)}
}

SPARQL query showing bind based cell service call.

URI based services

A second, more versatile, way to access a service is provided in the form of an URI. It is possible to query cells by specifying an individual cell in the URI of the service call.

SELECT ?s ?p ?o WHERE {
  BIND(ENCODE_FOR_URI("http://ua.be/sdo2l/description/artifacts/artifacts#random-artefact") as ?e)
  BIND(uri(concat("http://localhost:8000/cell/?iri=", ?e ,"&row=2&column=2&file_name=example.csv")) as ?c)
  SERVICE ?c {?s ?p ?o}
}

SPARQL query showing URI based cell service call.

Installation

pip install --index-url https://pip:[e-mail]/api/v4/projects/262/packages/pypi/simple --no-deps spendpoint

Configuration

A configuration file at configuration.toml holds all user configurable data. You can set the host and port the server will listen on. A more advanced use is to import extra services. These services need to be defined in the service.py file as well.