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SHMARQL

A Linked Data publishing platform for semantic web professionals in a hurry. Make compelling queries and documentation of your RDF data, using an open-source, simple platform.

Documentation here: https://shmarql.com/

TL;DR

SHMARQL also has a built-in triplestore which you can use to share your RDF data over a SPARQL interface. To use it, you need to specify the path from which to load the datafiles at startup, using an environment variable: DATA_LOAD_PATHS. This also means that the path in which the data is stored is "visible" to the docker container via for example a mounted volume.

Here is an example, where you have some .ttl files stored in your current directory:

docker run --rm -p 8000:8000 -it -v $(pwd):/data -e DATA_LOAD_PATHS=/data  ghcr.io/epoz/shmarql:latest

This will load all .ttl files found in the specified directory, and make it available under a /sparql endpoint, eg. http://localhost:8000/sparql

Development instructions

If you would like to run and modify the code in this repo, there is a Dockerfile which includes the necessary versions of the required libraries.

First, build the Docker image like so:

docker build -t shmarql .

Now you can run a local copy with:

docker run -it --rm -p 8000:8000 shmarql

Metadata

Release files for shmarql 0.70

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shmarql-0.70-py3-none-any.whl Python 3 none any Details

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