REST RDF

A simple Flask APP to implement the RESTful api, and Rdflib to handle RDF data. A single SPARQL query is used to retreive company data from the dataset and from the user-provided data. This query allows to avoid inserting undesired data to the dataset.

GET /company/id:string

Retreive data of a company.

• Consumes : text/turtle, application/rdf+xml
• Produces : text/turtle, application/rdf+xml

Example:

	curl -i http://127.0.0.1:5000/company/bbc

PUT /company/id:string

Update (insert) triples to the graph with the specified identifier

• Consumes : text/turtle, application/rdf+xml

Example:

	curl -i http://127.0.0.1:5000/company/alibaba \
		--header "Content-Type: application/rdf+xml" \
		--request PUT \
		--data '<?xml version="1.0"?>
	<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
	xmlns:schema="http://schema.org/">
	<rdf:Description rdf:about="http://example.org/alibaba">
	  <rdf:type rdf:resource="http://schema.org/Organization"/>
	  <schema:name>Alibaba Group</schema:name>
	  <schema:founder rdf:resource="http://example.org/jack_ma"/>
	  <schema:url>https://www.alibabagroup.com</schema:url>
	</rdf:Description>
	</rdf:RDF>
	'

GET /dataset

Retreive the complete dataset.

• Produces : text/turtle, application/rdf+xml

Example: curl -i http://127.0.0.1:5000/dataset --header "Accept:text/turtle"

Useage

Use the following commands to install required packages, and to launch the server.

	pip install requirements.txt
	python3 

Improvements

• Support concurrent access to the data store
• Validate data using ShEx for instance