2024W

• Model Engineering / 188.923 / VU

• A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models / Ali, S. J., & Bork, D. (2024). A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models. In Advanced Information Systems Engineering (pp. 107–123). https://doi.org/10.1007/978-3-031-61057-8_7
• CM2KGcloud – An open web-based platform to transform conceptual models into knowledge graphs / Smajevic, M., Ali, S. J., & Bork, D. (2024). CM2KGcloud – An open web-based platform to transform conceptual models into knowledge graphs. Science of Computer Programming, 231, Article 103007. https://doi.org/10.1016/j.scico.2023.103007
  Projects: DEMO (2022–2024) / MFP 4.2 (2022–2023)
• A Generic and Customizable Genetic Algorithms-Based Conceptual Model Modularization Framework / Ali, S. J., Laranjo, J. M., & Bork, D. (2023). A Generic and Customizable Genetic Algorithms-Based Conceptual Model Modularization Framework. In H. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.), Enterprise Design, Operations, and Computing : 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 39–57). Springer. https://doi.org/10.1007/978-3-031-46587-1_3
• AI-Enhanced Hybrid Decision Management / Bork, D., Ali, S. J., & Dinev, G. M. (2023). AI-Enhanced Hybrid Decision Management. Business and Information Systems Engineering, 65(2), 179–199. https://doi.org/10.1007/s12599-023-00790-2
• Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks / Ali, S. J., Guizzardi, G., & Bork, D. (2023). Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks. In M. Indulska, I. Reinhartz-Berger, C. Cetina, & O. Pastor (Eds.), Advanced Information Systems Engineering : 35th International Conference, CAiSE 2023, Zaragoza, Spain, June 12–16, 2023, Proceedings (pp. 278–294). Springer. https://doi.org/10.1007/978-3-031-34560-9_17
  Project: MFP 4.2 (2022–2023)
• Encoding Conceptual Models for Machine Learning: A Systematic Review / Ali, S. J., Gavric, A., Proper, H., & Bork, D. (2023). Encoding Conceptual Models for Machine Learning: A Systematic Review. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 562–570). IEEE. https://doi.org/10.1109/MODELS-C59198.2023.00094
  Project: MFP 4.2 (2022–2023)
• Model-Based Construction of Enterprise Architecture Knowledge Graphs (extended abstract) / Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2023). Model-Based Construction of Enterprise Architecture Knowledge Graphs (extended abstract). In S. Hacks & J. Jung (Eds.), Proceedings of the 13th International Workshop on Enterprise Modelingand Information Systems Architectures {(EMISA} 2023). CEUR. http://hdl.handle.net/20.500.12708/191774
  Project: MFP 4.2 (2022–2023)
• Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit / Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2023). Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit. In Conference Proceedings: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (pp. 332–338). Springer. https://doi.org/10.1007/978-3-031-26886-1_21
  Project: MFP 4.2 (2022–2023)
• Model-Based Construction of Enterprise Architecture Knowledge Graphs / Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2022). Model-Based Construction of Enterprise Architecture Knowledge Graphs. In Enterprise Design, Operations, and Computing. 26th International Conference, {EDOC} 2022, Bozen-Bolzano, Italy, October 3-7, 2022, Proceedings (pp. 57–73). Springer. https://doi.org/10.34726/3068
  Download: Camera ready author version (3.51 MB)
  Project: DEMO (2022–2024)

• Knowledge graph-based generic modularisation of conceptual models / Laranjo, J. M. (2023). Knowledge graph-based generic modularisation of conceptual models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99585
  Download: PDF (2.73 MB)
• Conceptual modeling and semantic Web: A systematic mapping study / Eggerth, C. T. (2022). Conceptual modeling and semantic Web: A systematic mapping study [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.99981
  Download: PDF (4.94 MB)