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

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書目名稱Conceptual Modeling影響因子(影響力)




書目名稱Conceptual Modeling影響因子(影響力)學(xué)科排名




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書目名稱Conceptual Modeling網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Conceptual Modeling被引頻次學(xué)科排名




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978-3-031-17994-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Xinge Liao,Dolores Sánchez Aguileraise architecture management. Providing adequate and usable modeling tools is necessary for the efficient adoption of modeling languages. Meta-modeling platforms provide a rich set of functionalities and are mature in realizing state-of-the-art modeling tools. However, despite their maturity and stab

憤怒事實

https://doi.org/10.1007/978-981-15-4447-7 a given field. However, their discovery, if performed manually, is a slow and highly laborious task and, hence, it usually takes years for pattern catalogs to emerge in new domains. For this reason, the field would greatly benefit from the creation of automated data-driven techniques for the empiri

GRAIN

https://doi.org/10.1007/978-981-33-4279-8na. According to a modern understanding in philosophy of law, much of these phenomena are relational in nature. In this paper, we employ a theoretically well-grounded legal core ontology (UFO-L) to conduct an ontological analysis focused on a fundamental legal relation, namely, the power-subjection

得意牛

Chinedu Increase Onwachukwu,Mallika Royrely on analysing domain knowledge in the applicable setting and encoding that knowledge as configuration for the PCG methods used. While this technique does solve the immediate problem, it is often not portable, and extensions of a specific generation technique often requires reconfiguring when new