OntoChoice

About Us

The OntoChoice project is a collaborative research initiative dedicated to developing systematic methodologies for selecting, evaluating, and reusing ontological terms and vocabularies across research domains. The team is actively developing a comprehensive document that explores critical challenges in ontology selection, with a multifaceted approach focusing on several key areas: cataloging existing evaluation techniques, identifying use cases, developing potential tooling, and creating recommendations for ontology sustainability and community adoption. Our work addresses complex challenges such as term context, reuse strategies, and interoperability, with particular attention to emerging technologies like large language models. The group aims to provide practical guidance for researchers and practitioners by creating a structured framework that helps users make informed decisions when choosing ontologies, ultimately improving semantic precision and knowledge representation across disciplines like biomedicine, environmental health, and data science.

Our Mission

The OntoChoice mission is to:

Explore techniques and critical challenges in selecting terms and ontologies.

Provide recommendations for tools and practices given existing semantic technologies.

Create a widely accepted, testable method that maps concrete use-case requirements to an auditable, reproducible selection of ontologies and terms, and ideally demonstrates measurable impact on downstream data and AI tasks.