HEAT-KG: a Knowledge Graph of Human Evaluation and Assessment Tools

HEAT-KG is a knowledge graph that represents theories, constructs, and instruments for user research in an interlinked, machine-readable form, enabling researchers to identify, compare, and reuse validated resources effectively. The knowledge graph is provided in RDF in two formats: a complete dump in Turtle syntax for straightforward access, and an N-Quads version with named graphs to support modularity and fine-grained data organization. The data in the graph are described according to the HEAT Ontology, which formalizes the conceptual model of human evaluation and assessment tools and is openly available at https://w3id.org/heat#. In the repository at https://github.com/cefriel/heat-kg, we also provide tools for exploring the knowledge graph with examples to facilitate adoption and reuse.