Please note!
The repository is in flux, as we are merging in a branch where the code part has been rewritten in FastHTML. Documentation is on the way...
A SPARQL endpoint explorer, that allows you to "bounce" the subject, predicate or object around for a public SPARQL endpoint so that you can explore the shape of the data. useful if you encounter a new dataset that you do not know and would like to quickly get a feel of what the data looks like.
You can test/run a local copy, if you have Docker installed by doing:
docker run --rm -p 8000:8000 -it ghcr.io/epoz/shmarql:v0.39
You can then view it in your browser at: http://localhost:8000/
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 is "visible" to the docker container via for example a mounted volume.
Here is an example, where you have some .ttl files stored in a directory named ./databases
docker run --rm -p 8000:8000 -it -v $(pwd):/data -e DATA_LOAD_PATHS=/data ghcr.io/epoz/shmarql:v0.39
This will load all .ttl files found in the specified directory, and make it available under a /sparql endpoint, eg. http://localhost:8000/sparql
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