The OAEI Bio-ML track will have its 2023 version, for providing a platform for evaluating different ontology alignment systems, especially those using machine learning techniques. We sincerely invite all kinds of OM systems to participate in our Bio-ML track.
In comparison with the 2022 version, we will make the following changes in 2023:
We will set up a new evaluation dataset to test large language models (LLMs) for equivalence matching. The idea is to rank a set of candidate target concepts for a given source concept, by exploring LLMs like Flan-T5 and the GPT-series and prompts.
We will cancel the validation set for simplicity. It will be merged with the testing set in the unsupervised setting, and merged with the training set in the semi-supervised setting.
For subsumption matching, we will cancel the unsupervised setting, but keep the semi-supervised setting, for reducing the workload.
We will use modularization techniques to improve the to-be-matched ontologies that are extracted from the original large-scale ontologies according to the given ground truth mappings. This will keep more of the structure of the original ontology.
As in the last year, we encourage system submission via SEALS or HOBBIT, but can also allow direct result (mappings) submission, which will be marked in our results and reports.
Here are the temporary milestones:
27th July: dataset release
31st August: system submission
30th September: result release
14th October: report release
Organizers: Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz and Ian Horrocks
cmungall
commented
1 year ago
See sister issue for OAK with the details https://github.com/INCATools/ontology-access-kit/issues/617
Info from email:
@cmungall can we assign this to anyone?