DISO-OAEI 2026 — Defence, Intelligence and Security Ontology Matching

The datasets of the DISO-OAEI track of the Ontology Alignment Evaluation Initiative (OAEI) 2026 campaign: ten curated OWL ontologies from the DISO collection, 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/<pair>.silver.rdf	Task 1 headline references
references/unrepaired_silver/<pair>.silver.unrepaired.rdf	Task 1 secondary references
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

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/ontologies.zip

Participate

Quickstart, validators, local scorer, submission formats, baselines, and the evaluation timeline are available through the website and within the GitHub repository.

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.20059506