EA ModelSet – A FAIR Dataset for Machine Learning in Enterprise Modeling
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48583-1_2
Reference24 articles.
1. Ali, S.J., Guizzardi, G., Bork, D.: Enabling representation learning in ontology-driven conceptual modeling using graph neural networks. In: Indulska, M., Reinhartz-Berger, I., Cetina, C., Pastor, O. (eds.) Advanced Information Systems Engineering - 35th International Conference, CAiSE 2023, Zaragoza, Spain, 12–16 June 2023, Proceedings. LNCS, vol. 13901, pp. 278–294. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-34560-9_17
2. Barbosa, A.O., Santana, A., Hacks, S., von Stein, N.: A taxonomy for enterprise architecture analysis research. In: 21st International Conference on Enterprise Information Systems, ICEIS 2019, pp. 493–504. SciTePress (2019). https://doi.org/10.5220/0007692304930504
3. Barcelos, P.P.F., Sales, T.P., Fumagalli, M., et al.: A FAIR model catalog for ontology-driven conceptual modeling research. In: Ralyté, J., Chakravarthy, S., Mohania, M., Jeusfeld, M.A., Karlapalem, K. (eds.) 41st International Conference on Conceptual Modeling, ER 2022. LNCS, vol. 13607, pp. 3–17. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-17995-2_1
4. Bernabé, C., Sales, T.P., Schultes, E., et al.: A goal-oriented method for FAIRification planning (2023). https://doi.org/10.21203/rs.3.rs-3092538/v1
5. Bork, D., Ali, S.J., Dinev, G.M.: AI-enhanced hybrid decision management. Bus. Inf. Syst. Eng. 65(2), 179–199 (2023). https://doi.org/10.1007/s12599-023-00790-2
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