We present a preliminary investigation that focuses on the generalization of machine learning models trained on the output alignments of multiple systems for a task where a reference alignment is available to other alignment tasks.
The alignments produced by the ontology matching tools that participated in the Anatomy, Large BioMed and Conference tracks of OAEI 2019 were used as datasources. These data are available for download here:
- Anatomy: http://oaei.ontologymatching.org/2019/results/anatomy/index.html
- Large BioMed: https://github.com/ernestojimenezruiz/oaei-evaluation/tree/master/mappings/largebio/2019
- Conference: http://oaei.ontologymatching.org/2019/results/conference/#data
- The full table of f1-score results can be found in the results-table.xlsx file.
- Information on hyperparameters, accuracy and precision can be found in the hyperparameter.csv file.
- Beatriz Lima
- Ruben Branco
- João Castanheira
- Gustavo Fonseca
- Cátia Pesquita
See the LICENSE file for details.
CP and BL are funded by the FCT through LASIGE Research Unit, ref. UIDB/00408/2020 and ref. UIDP/00408/2020, and by projects SMILAX (ref. PTDC/EEI-ESS/4633/2014). CP is also funded by GADgET (ref. DSAIPA/DS/0022/2018).