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Titlebook: Advances in Conceptual Modeling; ER 2024 Workshops, A Motoshi Saeki,Leah Wong,José F. Reyes Román Conference proceedings 2025 The Editor(s)

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發(fā)表于 2025-3-21 19:13:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Conceptual Modeling
期刊簡(jiǎn)稱ER 2024 Workshops, A
影響因子2023Motoshi Saeki,Leah Wong,José F. Reyes Román
視頻videohttp://file.papertrans.cn/168/167233/167233.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Conceptual Modeling; ER 2024 Workshops, A Motoshi Saeki,Leah Wong,José F. Reyes Román Conference proceedings 2025 The Editor(s)
影響因子.This book constitutes the refereed proceedings of the workshops held at the 43rd International Conference on?Conceptual Modeling, ER 2024, which took place in Pittsburgh, PA, USA, during October 28-31, 2024.?..The 22 full papers and 1 short paper included in this book were carefully reviewed and selected from 52 submissions. They stem from the following workshops:?.. .AISA’2024 - The First International Workshop on AI Services and Applications. .CMLS2024 - The 5th International Workshop on Conceptual Modeling for Life?Sciences. .EmpER‘24 -7th International Workshop on Empirical Methods?in Conceptual Modeling. .QUAMES 2024 - 5th International Workshop on Quality?and Measurement of Model-Driven Software Development. .JUSMOD24 - 3rd International Workshop on Digital JUStice, Digital Law and?Conceptual MODeling. .LLM4Modeling - 2nd Workshop on Modeling in the Age of Large Language?Models..
Pindex Conference proceedings 2025
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GRASPER: Leveraging Knowledge Graphs for?Predictive Supply Chain Analyticsveness was validated using a prototype in the sensor manufacturing industry, leveraging an open dataset from social network analysis to assess its performance in pinpointing critical nodes in the knowledge graph. This approach enhances supply chain transparency and resilience, offering significant s
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Self-explanatory Retrieval-Augmented Generation for?SDG Evidence Identificatione also assess RAG abilities for making this kind of decisions when the LLM is requested to explain its own mechanisms alongside the answer it generates. Our evaluation resources are made publicly available.
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Integrative Ontology of?Bipolar Disorder (OBD): Advancing Bipolar Disorder Research Through an?Interic predispositions and clinical symptoms of BD, aimed towards facilitating improved accuracy in diagnoses and personalized treatment plans. The OBD supports data FAIRness (e.g., findability, accessibility, interoperability, and reusability)and encourages collaborative and multidisciplinary studies o
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