HEAT-KG is a Knowledge Graph of Human Evaluation and Assessment Tools. This repository contains supporting tools to explore the HEAT-KG.
Download the HEAT-KG from Zenodo at https://doi.org/10.5281/zenodo.17805803 using the download.sh file in the data folder. Or download it manually from Zenodo and put the TTL file in data/heat-kg.ttl. If you are familiar with RDF, you can simply use the downloaded file to find the information you are looking for.
The data included in the HEAT-KG are represented with respect to the HEAT ontology (URI: https://w3id.org/heat#, repo: https://github.com/cefriel/heat-ontology).
If you are not fully familiar with RDF and SPARQL or simply if you want to be guided in the HEAT-KG exploration, you can use the heat-kg.ipynb notebook (in the notebooks folder), which contains the code to import the HEAT-KG data and to explore the knowledge graph, by querying it with the provided SPARQL queries from the queries folder.
You can of course take inspiration from the notebook to explore the HEAT-KG according to your user research needs.
The notebook can be executed using the command:
docker-compose up --force-recreateThe queries folder contains the competency questions for the HEAT-KG. You can reuse those to query your local dump of the HEAT-KG, or you can access the SPARQL endpoint.
All the SPARQL queries are annotated in the queries folder are annotated to be available as grlc API at https://grlc.io/api-git/cefriel/heat-kg/subdir/queries. For more information on grlc, check grlc.io.