Towards a Great Design of Conceptual Modelling
Kiyoki, Y., Thalheim, B., Duží, M., Jaakkola, H., Chawakitchareon, P., & Heimbürger, A. (2020). Towards a Great Design of Conceptual Modelling. In A. Dahanayake, J. Huiskonen, Y. Kiyoki, B. Thalheim, H. Jaakkola, & N. Yoshida (Eds.), Information Modelling and Knowledge Bases XXXI : Proceedings of the 29th International Conference on Information Modeling and Knowledge Bases (EJC 2019) (pp. 531-544). IOS Press. Frontiers in Artificial Intelligence and Applications, 321. https://doi.org/10.3233/FAIA200036
© 2020 IOS Press
Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. This is a big challenge for global information systems development and for their modelling. In this paper, we discuss on different aspects of conceptual modelling in global environmental context. The paper is the summary of the panel session “The Future of Conceptual Modelling” in the 29th International Conference on Information Modelling and Knowledge Bases.
Parent publication ISBN978-1-64368-044-6
ConferenceInternational conference on information modelling and knowledge bases
Is part of publicationInformation Modelling and Knowledge Bases XXXI : Proceedings of the 29th International Conference on Information Modeling and Knowledge Bases (EJC 2019)
conceptual modelling model suites multi-agent system artificial intelligence machine learning semantic computing data mining 5D world map system context computing environmental ICT globalization koneoppiminen ympäristöteknologia tekoäly järjestelmäsuunnittelu tiedonlouhinta konseptisuunnittelu globalisaatio
Publication in research information system
MetadataShow full item record
Showing items with similar title or keywords.
Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations Muiruri, Dennis; Lwakatare, Lucy Ellen; Nurminen, Jukka K.; Mikkonen, Tommi (Institute of Electrical and Electronics Engineers (IEEE), 2022)Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence ...
Taipalus, Toni; Isomöttönen, Ville; Erkkilä, Hanna; Äyrämö, Sami (Springer Science and Business Media LLC, 2023)The field of healthcare has seen a rapid increase in the applications of data analytics during the last decades. By utilizing different data analytic solutions, healthcare areas such as medical image analysis, disease ...
Liu, Shenghua (University of Jyväskylä, 2010)
Wiafe, Isaac; Koranteng, Felix N.; Obeng, Emmanuel N.; Assyne, Nana; Wiafe, Abigail; Gulliver, Stephen R. (IEEE, 2020)Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can ...
Neittaanmäki, Pekka; Repin, Sergey (Springer, 2022)In this note, we discuss the interaction between two ways of scientific analysis. The first (classical) way is known as Mathematical Modeling (MM). It is based on a model created by humans and presented in mathematical ...