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OWL ontology evolution: understanding and unifying the complex changes., , , , и . Knowl. Eng. Rev., (2022)Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering., , , , , , , , , и 3 other автор(ы). WORKS@SC, стр. 1-10. IEEE, (2019)Efficient Runtime Capture of Multiworkflow Data Using Provenance., , , , , , , , , и . eScience, стр. 359-368. IEEE, (2019)KIF: A Framework for Virtual Integration of Heterogeneous Knowledge Bases using Wikidata., , , , , , , и . CoRR, (2024)DevOps and microservices in scientific system development: experience on a multi-year industry research project., , , , , , и . SAC, стр. 1452-1455. ACM, (2022)Workflow provenance in the lifecycle of scientific machine learning., , , , , , , , , и 3 other автор(ы). Concurr. Comput. Pract. Exp., (2022)Workflow Provenance in the Lifecycle of Scientific Machine Learning., , , , , , , , , и 3 other автор(ы). CoRR, (2020)Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case., , , , , , , , , и . CoRR, (2020)On the Maintenance of a Scientific Application based on Microservices: an Experience Report., , , , и . ICWS, стр. 102-109. IEEE, (2020)A Flexible Framework for Applying Data Access Authorization Business Rules., , , , и . ICEIS (1), стр. 275-280. SciTePress, (2010)