Tasks Overview

Track 1 evaluates equivalence over three ontology pairs, as global alignment and as local ranking.

OAEI Bio-ML 2026 comprises Track 1 — Equivalence over three whole-ontology pairs, evaluating equivalence matching in two complementary settings: a global alignment subtrack and a local ranking subtrack.

TrackSubtrackYou submitHeadline metric
Track 1 — EquivalenceSubtrack 1 — Global equivalence alignmentone full OAEI Alignment RDF per pairrepaired, coherence-aware macro-F1
Track 1 — EquivalenceSubtrack 2 — Local equivalence rankinga best-first ranking of each query’s 100-candidate poolmacro-MRR

The three ontology pairs

Every track is evaluated over the same three biomedical ontology pairs:

PairSource → TargetBridges
NCIT-DOIDNCIt → DOIDcancer terminology ↔ human disease
SNOMED-FMASNOMED CT → FMAclinical terms ↔ anatomy
SNOMED-NCITSNOMED CT → NCItclinical terms ↔ cancer terminology

Scores are macro-averaged across the three pairs (each pair weighted equally). Directory names use the uppercase form (NCIT-DOID, SNOMED-FMA, SNOMED-NCIT); URL slugs use the lowercase form (ncit-doid, snomed-fma, snomed-ncit).

Track 1 — Equivalence

Subtrack 1 — Global equivalence alignment

Pairs (3)NCIT-DOID, SNOMED-FMA, SNOMED-NCIT
You submitone full OAEI Alignment RDF per pair (full OWL IRIs, = cells)
Settingsemi-supervised — the public refs_equiv/train.tsv is released per pair; the test reference is hidden
Scoredorganiser-side, against a repaired, coherence-aware reference (headline), plus Global Coherence (reasoner-based)
Metricrepaired, coherence-aware precision / recall / F1, macro-averaged over the 3 pairs
DetailsSubtrack 1 — Global Equivalence Alignment · submission format

Subtrack 2 — Local equivalence ranking

Pairs (3)NCIT-DOID, SNOMED-FMA, SNOMED-NCIT
You submitone ranking per query: its 100-candidate pool ordered best-first (format)
Poolsthe gold-stripped local.test.cands.tsv per pair — full OWL IRIs, 100 target candidates per source entity
Scoredorganiser-side, against the hidden gold
MetricMRR + Hits@{1, 5, 10}, macro-averaged over the 3 pairs
DetailsSubtrack 2 — Local Equivalence Ranking · submission format

Serialisation

Track 1 (both the global alignment and local ranking subtracks) uses full OWL IRIs (e.g. http://purl.obolibrary.org/obo/DOID_1612) for entity serialisation.

All public *.test.cands.tsv files are gold-stripped — they carry the candidate pool only, never the answer.

Data

The datasets and candidate pools are distributed as one Hugging Face dataset, OAEI-ML/bio-ml (edition tag 2026); the self-contained scoring_kit/ (validators + local scorers) ships separately with the track repository. Get both, side by side:

git clone https://github.com/liseda-lab/OAEI-Bio-ML && cd OAEI-Bio-ML   # the scoring kit
hf download OAEI-ML/bio-ml --repo-type dataset --revision 2026 --local-dir ./bio-ml   # the data

Under bio-ml/, each pair (NCIT-DOID, SNOMED-FMA, SNOMED-NCIT) ships the public equivalence reference refs_equiv/train.tsv, the local-ranking pools local.train.cands.tsv / local.valid.cands.tsv (gold-bearing) plus local.test.cands.tsv (gold-stripped); a repaired/ tree mirrors the same files against the coherence-repaired reference. The source ontologies are not re-hosted — obtain each from its publisher (see the dataset’s ontologies.md). Run python scoring_kit/self_check.py --data ./bio-ml to confirm the data downloaded intact.

Key dates

DateMilestone
2026-07-06provisional materials
2026-07-07datasets finalised
2026-07-12competition starts — leaderboards open
2026-09-01evaluation closes
2026-09-06competition ends — results published (grace period to 2026-09-12)

Participant results are collected and ranked on two CodaBench competitions — one per subtrack (Track 1 global alignment, Track 1 local ranking). Competition URLs are announced at launch.