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.
Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain [link]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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