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Conceptual Modeling and Artificial Intelligence: A Systematic Mapping Study

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inferred← citeshttps://doi.org/10.2139/ssrn.4724602openalex-extracted

Unraveling the Foundations and the Evolution of Conceptual Modeling – Intellectual Structure, Current Themes, and Trajectories

inferred← citeshttps://doi.org/10.1007/978-3-031-33080-3_33openalex-snapshot

Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal

inferred← citeshttps://doi.org/10.1007/978-3-031-34560-9_17openalex-snapshot

Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-48583-1_2openalex-snapshot

EA ModelSet – A FAIR Dataset for Machine Learning in Enterprise Modeling

inferred← citeshttps://doi.org/10.1007/978-3-031-75872-0_10openalex-snapshot

Model-Driven Design and Generation of Training Simulators for Reinforcement Learning

inferred← citeshttps://doi.org/10.1007/s10270-025-01278-1openalex-snapshot

The extended EA ModelSet—a FAIR dataset for researching and reasoning enterprise architecture modeling practices

inferred← citeshttps://doi.org/10.1007/s10270-025-01307-zopenalex-snapshot

Teaching conceptual modelling in the age of LLMs: shifting from model creation to model evaluation skills

inferred← citeshttps://doi.org/10.1016/j.datak.2024.102313openalex-snapshot

To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data

inferred← citeshttps://doi.org/10.1016/j.datak.2025.102480openalex-snapshot

Large language models for conceptual modeling: Assessment and application potential

inferred← citeshttps://doi.org/10.1109/models-c59198.2023.00094openalex-snapshot

Encoding Conceptual Models for Machine Learning: A Systematic Review

inferred← citeshttps://doi.org/10.1145/3822455.3830317openalex-snapshot

Realizing a Model Context Protocol (MCP) Server for the Graphical Language Server Platform (GLSP)

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