Conceptual Modeling Interacts with Machine Learning - A Systematic Literature Review

被引:3
|
作者
Zaidi, Moayid Ali [1 ]
机构
[1] Ostfold Univ Coll, Halden, Norway
关键词
Machine Learning; Conceptual Modeling; Systematic Literature Review; ONTOLOGY; SUPPORT;
D O I
10.1007/978-3-030-87013-3_39
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:522 / 532
页数:11
相关论文
共 50 条
  • [1] Machine learning applied to road safety modeling: A systematic literature review
    Silva, Philippe Barbosa
    Andrade, Michelle
    Ferreira, Sara
    [J]. JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2020, 7 (06) : 775 - 790
  • [2] Machine learning applied to road safety modeling:A systematic literature review
    Philippe Barbosa Silva
    Michelle Andrade
    Sara Ferreira
    [J]. Journal of Traffic and Transportation Engineering(English Edition), 2020, 7 (06) : 775 - 790
  • [3] Systematic literature review: Machine learning techniques (machine learning)
    Alfaro, Anderson Damian Jimenez
    Ospina, Jose Vicente Diaz
    [J]. CUADERNO ACTIVA, 2021, (13): : 113 - 121
  • [4] Machine learning and automated systematic literature review: a systematic review
    Tsunoda, Denise Fukumi
    da Conceicao Moreira, Paulo Sergio
    Ribeiro Guimaraes, Andre Jose
    [J]. REVISTA TECNOLOGIA E SOCIEDADE, 2020, 16 (45): : 337 - 354
  • [5] Encoding Conceptual Models for Machine Learning: A Systematic Review
    Ali, Syed Juned
    Gavric, Aleksandar
    Proper, Henderik
    Bork, Dominik
    [J]. 2023 ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION, MODELS-C, 2023, : 562 - 570
  • [6] The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
    Abou Elassad, Zouhair Elamrani
    Mousannif, Hajar
    Al Moatassime, Hassan
    Karkouch, Aimad
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 87
  • [7] Machine Learning and Marketing: A Systematic Literature Review
    Duarte, Vannessa
    Zuniga-Jara, Sergio
    Contreras, Sergio
    [J]. IEEE ACCESS, 2022, 10 : 93273 - 93288
  • [8] Systematic reviews of machine learning in healthcare: a literature review
    Kolasa, Katarzyna
    Admassu, Bisrat
    Holownia-Voloskova, Malwina
    Kedzior, Katarzyna J.
    Poirrier, Jean-Etienne
    Perni, Stefano
    [J]. EXPERT REVIEW OF PHARMACOECONOMICS & OUTCOMES RESEARCH, 2024, 24 (01) : 63 - 115
  • [9] Machine Learning Applications in Baseball: A Systematic Literature Review
    Koseler, Kaan
    Stephan, Matthew
    [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2017, 31 (9-10) : 745 - 763
  • [10] Convergence of Gamification and Machine Learning: A Systematic Literature Review
    Khakpour, Alireza
    Colomo-Palacios, Ricardo
    [J]. TECHNOLOGY KNOWLEDGE AND LEARNING, 2021, 26 (03) : 597 - 636