Automated Ontology Construction for AI4RSE

This dataset contains the input data, intermediate results, and generated outputs produced during the automated ontology construction process for the domain of Artificial Intelligence for Research Software Engineering (AI4RSE). It represents a structured example of how domain knowledge can be automatically extracted, organized, and visualized as an ontology.

The dataset includes the following components:

WorkflowInputs/ - Input files and configuration data used for the ontology construction workflow.

WorkflowOutputs/ - Generated ontology files and related artifacts resulting from the automated processing steps.

json_results/ - Machine-readable JSON files containing extracted terms, definitions, and relationships between concepts.

Ontology_viewer.html - An interactive web-based viewer that allows users to explore the ontology structure and navigate semantic relationships among concepts.

The dataset demonstrates an end-to-end ontology generation pipeline, from validated text inputs to structured, SKOS-compliant knowledge representations and visualization. It can be reused for studying automated ontology engineering, semantic data modeling, and AI-assisted knowledge organization.