creates a docker image with Virtuoso preloaded with the latest DBpedia dataset

Datatype agnostic triple store & query engine API

Docker image for Apache Jena's Fuseki SPARQL endpoint

Template to create brand new ORR instance using Docker

Source code of https://etymology.dsantini.it (mirror of https://gitlab.com/openetymologymap/open-etymology-map )

Large-scale RDF-based Data Quality Assessment Pipeline

A weather knowledge graph for coffee regions in Colombia

Create VIVO data using a simple pipeline approach suitable for any source and any target (VIVO, new VIVO, other)

🐕‍🦺💫 Use a Stardog triplestore to create Virtual Knowledge Graphs

SPARQL Model Transformation

Data pipelines driven by Fedora's asynchronous messages

Docker Image of Virtuoso Open Source 7 with Data Auto-Loading

Ontology and data ingest scripts (Questrade only, for now) to build an RDF graph database of a personal investment portfolio

Let's take advantage of GCP and get SPARQL endpoints with ease !

Chimera Jupyter Notebook is an extension of the juptypter/pyspark-notebook image that integrates PySPARQL

The sidecar setup container creates a dataset in Jena Fuseki and uploads the files in the /init folder into the default graph.

Virtuoso triplestore installation for DDEV

Action to execute SPARQL operations using RDF4J

Demo with SPARQL queries for Apache Jena and Allegro Graph triple stores

Given SPARQL queries, save responses into corresponding persistent files, daily. Served via github page, accessible quickly via xhr.