Abstract
Due to the advancement in the digital world, society’s expectation towards Machine Learning is very high, especially in Conceptual Modeling. However, the relationship between Machine Learning and Conceptual models are very interesting. Literature in this field has identified the relationship and interaction between Machine Learning and Conceptual Models. However, to the best of our knowledge, there is not a Systematic Literature Review devoted to studying in deep the interaction of these two fields. In this paper, the authors conduct a Systematic Literature Review to get to know how Machine Learning is used in Conceptual Modeling. Results show the deep connection of Machine Learning with Conceptual Models in a solid way, as well as providing challenges and opportunities for future research.
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Zaidi, M.A. (2021). Conceptual Modeling Interacts with Machine Learning – A Systematic Literature Review. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_39
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DOI: https://doi.org/10.1007/978-3-030-87013-3_39
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