The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector
Author:
Zhu LinliORCID,
Gao WeiORCID
Publisher
Springer Singapore
Reference19 articles.
1. Osman, I., Ben Yahia, S., Diallo, G.: Ontology integration: approaches and challenging issues. Inf. Fusion 71, 38–63 (2021)
2. Akremi, H., Zghal, S.: DOF: a generic approach of domain ontology fuzzification. Front. Comp. Sci. 15(3), 1–12 (2020). https://doi.org/10.1007/s11704-020-9354-z
3. Ben Elhadj, H., Sallabi, F., Henaien, A., et al.: Do-Care: a dynamic ontology reasoning based healthcare monitoring system. Future Gener. Comput. Syst. Int. J. Escience 118, 417–431 (2021)
4. Das, S.K., Swain, A.K.: An ontology-based framework for decision support in assembly variant design. J. Comput. Inf. Sci. Eng. 21(2), 021007 (2021). https://doi.org/10.1115/1.4048127
5. Dimassi, S., Demoly, F., Cruz, C., et al.: An ontology-based framework to formalize and represent 4D printing knowledge in design. Comput. Ind. 126, 103374 (2021). https://doi.org/10.1016/j.compind.2020.103374