Qlever index from Blazegraph data

How to run

• NOTE1: Run blazegraph before running the codes & Run docker server!

• NOTE2: Only working in Linux/MacOS (NOT WINDOWS, check for windows)

• --endpoint: blazegraph SPARQL endpoint

• --port: port number for qlever server (default: 7000)

• --name: qlever server name (default: random 6 digits)

# env
python -m venv env
source env/bin/activate
pip install -r requirements.txt
# run main.py
python main.py --endpoint=http://localhost:9999/blazegraph/namespace/test/sparql --port=7080 --name=test

SPARQL query

• NOTE: Check qlever server is open
• {port}: replace the port number
• Currently the following media types are supported: application/sparql-results+json, application/sparql-results+xml, application/qlever-results+json, text/tab-separated-values, text/csv, text/turtle, application/octet-stream

curl -s http://localhost:{port} \
  -H "Accept:text/csv" \
  -H "Content-type: application/sparql-query" \
  --data "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> SELECT ?label WHERE { ?s rdfs:label ?label . } LIMIT 10"

run qlever (command line)

qlever get-data
qlever index
qlever index-stats
qlever start
qlever ui