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Titlebook: Conceptual Modeling; 41st International C Jolita Ralyté,Sharma Chakravarthy,Kamalakar Karlap Conference proceedings 2022 The Editor(s) (if

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樓主: invigorating
31#
發(fā)表于 2025-3-26 20:59:21 | 只看該作者
32#
發(fā)表于 2025-3-27 04:36:55 | 只看該作者
Incorporating Types of?Types in?Ontology-Driven Conceptual Modelingon and a formal theory of types of types. This theory is employed to engineer new constructs and constraints into the OntoUML language, and to develop computational support for the formal verification of constraint violation over multi-level conceptual models.
33#
發(fā)表于 2025-3-27 07:59:40 | 只看該作者
Pattern Discovery in?Conceptual Models Using Frequent Itemset Miningogs. The approach combines graph manipulation and Frequent Itemset Mining techniques. We also advance a computational tool implementing our proposal, which is then validated in an experiment with a dataset of 105 UML models.
34#
發(fā)表于 2025-3-27 13:03:48 | 只看該作者
Legal Power-Subjection Relations: Ontological Analysis and?Modeling Patterngenerated from them. Examples include relations of rights and duties, permissions and non-rights, liberties, secondary power-subjection, etc. As a contribution to the practice of conceptual modeling, and leveraging on the result of our analysis, we propose a conceptual modeling pattern, which is then applied to model a real-world case in tax law.
35#
發(fā)表于 2025-3-27 16:06:34 | 只看該作者
36#
發(fā)表于 2025-3-27 18:47:10 | 只看該作者
Chinedu Increase Onwachukwu,Mallika Roywork: atomically true ontology modelling (ATOM). Using ATOM for creating residential buildings allows for the definition of general concepts such as rooms and room types that can be then used to drive PCG methods to produce residential buildings in distinctive styles and environments.
37#
發(fā)表于 2025-3-28 00:38:42 | 只看該作者
38#
發(fā)表于 2025-3-28 02:19:20 | 只看該作者
39#
發(fā)表于 2025-3-28 09:03:58 | 只看該作者
https://doi.org/10.1007/978-1-4614-1481-0 applied to the cleaned video segments for predicting the reconstruction error of video features. Our experiments are conducted on three real datasets, and the experimental results demonstrate the performance of our model outperforms other novelty detection models.
40#
發(fā)表于 2025-3-28 10:56:22 | 只看該作者
Atomically True Ontology Modelling: Residential Buildingswork: atomically true ontology modelling (ATOM). Using ATOM for creating residential buildings allows for the definition of general concepts such as rooms and room types that can be then used to drive PCG methods to produce residential buildings in distinctive styles and environments.
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