NatureKG: an ontology and knowledge graph for nature finance with a Text2Cypher application
Despite modest initial accuracy, this feasibility study establishes a baseline for integrating domain-specific ontologies with AI systems. NatureKG offers a reusable foundation for representing environmental risks, dependencies, and interventions, with potential to enhance transparency and scalability in sustainable finance decision support. Future work should expand dataset diversity, sectoral coverage beyond the built environment, and refine model reasoning through larger, domain-aligned data catalogues.
Authors
- H. Sheikh (ORCID: https://orcid.org/0000-0002-7247-848X)
- Alok Kumar Singh (ORCID: https://orcid.org/0000-0002-1475-8555)
- Neetu Kushwaha
Institutions
- Norwich University of the Arts (GB)
- University of Oxford (GB)
- Institute of Nature Management (BY)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/frai.2025.1693843
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Stiftelsen för Miljöstrategisk Forskning
- European Commission
- HORIZON EUROPE Framework Programme