Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain. Gil, J. M., Mokadem, R., Morvan, F., Küng, J., & Hameurlain, A. Prog. Artif. Intell., 11(1):93–104, 2022. Paper doi bibtex @article{DBLP:journals/pai/GilMMKH22,
author = {Jorge Mart{\'{\i}}nez Gil and
Riad Mokadem and
Franck Morvan and
Josef K{\"{u}}ng and
Abdelkader Hameurlain},
title = {Interpretable entity meta-alignment in knowledge graphs using penalized
regression: a case study in the biomedical domain},
journal = {Prog. Artif. Intell.},
volume = {11},
number = {1},
pages = {93--104},
year = {2022},
url = {https://doi.org/10.1007/s13748-021-00263-1},
doi = {10.1007/S13748-021-00263-1},
timestamp = {Sun, 06 Oct 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pai/GilMMKH22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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