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ER 2025 is the 44th International Conference on Conceptual Modeling, scheduled to take place from October 20 to 23, 2025 in Poitiers / Futuroscope, France. It is not a conventional recorded course or bootcamp, but an international academic conference for the conceptual modeling research community, featuring paper presentations, keynotes, a doctoral symposium, an industry track, a forum track, tutorials, workshops, posters, demos, and more.
Based on the agenda, the conference covers topics such as Multi-Level Modeling, Language Engineering, Entity/Relationship Models and Graph Databases, LLM4Modeling, OntoCom, CMLS, and QUAMES. Main conference paper areas include Modeling for safeguarding, Ontological Modeling, LLM-enabled Modeling, Data and Process Modeling, Knowledge Graphs and Graph Databases, and related themes. The program also includes keynote talks by Heinrich Christian Mayr and Ron Weber, as well as a panel on “Building Trust Through Conceptual Modeling.” The proceedings have been published online as LNCS Volume 16189 and 16190, giving the event strong academic dissemination value.
The scraped text does not provide registration fees, student pricing, early-bird rates, payment methods, or whether attendance certificates, training certificates, or continuing education credits are issued. Therefore, if evaluated as a “course product,” its commercial and learning-delivery information is incomplete, and the Registration page should be checked for details.
The strengths are its long conference history, clear academic positioning, and coverage of frontier topics in conceptual modeling, including its intersections with knowledge graphs, graph databases, and LLMs. Its formats are also diverse, making it suitable for academic exchange and research presentation. The downside is that it is more of a conference than a structured course, so it may not be beginner-friendly. The public text also lacks practical information such as pricing, online participation options, language, and certificates. In addition, the latter part of the scraped content contains unrelated gambling and e-commerce refund material, suggesting that the page may be polluted or that the crawl result is abnormal. Extra caution is needed when confirming information or registering officially.
It is suitable for researchers, PhD students, and industry practitioners working in databases, information systems, software engineering, knowledge graphs, and ontology modeling. It is less suitable for learners who simply want an introductory course or a career certificate. Access from mainland China cannot be determined from the text alone and is marked as unknown.
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erconference.org is an France Education provider. TG4G tracks its product information, an overall rating of 5.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach erconference.org directly.