diso-oaei / README.md
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DISO-OAEI 2026 edition - initial release
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---
license: apache-2.0
pretty_name: DISO-OAEI 2026
viewer: false
tags:
- ontology-matching
- ontology-alignment
- knowledge-graphs
- owl
- defence
- security
- cyber-security
- OAEI
size_categories:
- n<1K
---
# DISO-OAEI 2026 — Defence, Intelligence and Security Ontology Matching
The datasets of the [DISO-OAEI track](https://diso-oaei-draft.ontozoo.io/) of the [Ontology Alignment Evaluation Initiative](https://oaei.ontologymatching.org/) (OAEI) 2026 campaign: ten curated OWL ontologies from the [DISO collection](https://github.com/city-artificial-intelligence/diso), the expert-validated silver-standard reference alignments for the global alignment task (six pairs, repaired and unrepaired variants), and the frozen candidate pools for the local equivalence ranking task (two pairs, with NIL abstention).
## Layout
| Path | Contents |
|---|---|
| `ontologies/*.owl` | the 10 task ontologies |
| `references/repaired_silver_refs/<pair>.silver.rdf` | Task 1 headline references $R_{\approx}^{+}$ |
| `references/unrepaired_silver_refs/<pair>.silver.unrepaired.rdf` | Task 1 secondary references $R_{\approx}$ |
| `pools/<pair>/pools.jsonl` | Task 2 candidate pools (50 candidates/query incl. the NIL IRI) |
| `archives/*.zip` | the three website download archives, byte-identical |
## Download
```bash
pip install -U huggingface_hub
hf download OAEI-ML/diso-oaei --repo-type dataset --local-dir ./diso-oaei
# a single file:
hf download OAEI-ML/diso-oaei ontologies/stix.owl --repo-type dataset
# pin the 2026 edition:
hf download OAEI-ML/diso-oaei --repo-type dataset --revision v2026 --local-dir ./diso-oaei-2026
```
Plain HTTPS also works:
```
https://huggingface.co/datasets/OAEI-ML/diso-oaei/resolve/main/archives/_DISO_OM_ontologies.zip
```
## Participate
Quickstart, validators, local scorer, submission formats, baselines, and the evaluation timeline are available through the [website](https://city-artificial-intelligence.github.io/diso-oaei/) and within the [GitHub repository](https://github.com/city-artificial-intelligence/diso-oaei).
## Licensing
The DISO-OAEI packaging, tooling, and reference alignments are Apache-2.0. All distributed ontologies within this release are licensed and/or have been authorised for redistribution; they retain their upstream licences; see <https://city-artificial-intelligence.github.io/diso/ONTOLOGY-LICENSING.html> for licensing details.
## Citation
Until the track dataset DOI is minted, cite the underlying collection:
> Dilworth, J., Cotovio, P., Herron, D., Pesquita, C., Jimenez-Ruiz, E.,
> Cripps, P., & Dewdney, N. (2026). DISO: Defence, Intelligence and Security
> Ontologies (1.1.0) [Data set]. Zenodo.
> <https://doi.org/10.5281/zenodo.20760510>