# DINGO: an ontology for projects and grants linked data

arXiv: https://arxiv.org/abs/2006.13438 · HTML: https://mlsanity.com/paper/2006.13438/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jun 2020.

## Built on by (most cited first, 1 of 1)

- [Ontology Learning and Knowledge Graph Construction: A Comparison of Approaches and Their Impact on RAG Performance](https://mlsanity.com/paper/2511.05991/) (2025)

## Abstract (arXiv)

We present DINGO (Data INtegration for Grants Ontology), an ontology that provides a machine readable extensible framework to model data for semantically-enabled applications relative to projects, funding, actors, and, notably, funding policies in the research landscape. DINGO is designed to yield high modeling power and elasticity to cope with the huge variety in funding, research and policy practices, which makes it applicable also to other areas besides research where funding is an important aspect. We discuss its main features, the principles followed for its development, its community uptake, its maintenance and evolution.