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KONTEX 2026 : Knowledge Operationalization from iNformal To EXecutable Models | |||||||||||||||
| Link: https://kontex-workshop.github.io/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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Despite decades of research in model-driven engineering, a persistent challenge remains: how to systematically capture informal domain knowledge and transform it into structured conceptual models that can be operationalized.
In practice, crucial knowledge about systems often exists in informal forms—such as natural language requirements, user stories, expert narratives, sketches, spreadsheets, and tacit stakeholder knowledge. Without systematic approaches to structure and operationalize this knowledge, models remain fragmented and difficult to integrate into engineering workflows. The KONTEX workshop (Knowledge Operationalization from iNformal To EXecutable Models) aims to bring together researchers and practitioners interested in methods, languages, and tools that transform informal or semi-formal knowledge into structured conceptual models and executable artifacts within model-driven engineering ecosystems. KONTEX provides a forum to discuss emerging approaches for knowledge extraction, conceptual modelling, and model operationalization, including AI-assisted techniques and human-in-the-loop processes. === Topics of Interest === Topics include, but are not limited to: Deriving conceptual or domain models from informal artifacts Systematic processes from conceptual models to executable artifacts Quality assessment and validation of derived models Tools and frameworks for knowledge capture and formalization NLP and rule-based approaches for model extraction Machine learning and deep learning for model derivation Large Language Models for conceptual modelling Human–AI collaboration in modelling Interactive and mixed-initiative modelling tools Empirical studies on modelling practices Industrial case studies and experience reports Integration into model-driven engineering pipelines === Paper Types === Full Research Papers (up to 10 pages) Short Papers (up to 5 pages) Opinion Papers (up to 3 pages) Page limits include references. === Submission Guidelines === Submissions must follow the ACM conference format. LaTeX users should use the ACM template with: \documentclass[sigconf,review]{acmart} Each submission will be reviewed by at least three program committee members. Submission link: EasyChair (link coming soon) === Important Dates === Paper submission deadline: July 3, 2026 Notification to authors: July 31, 2026 Camera-ready deadline: August 14, 2026 Workshop: October 2026 (during MODELS 2026) === Organizers === David A. Manrique Negrin — Luxembourg Institute of Science and Technology (LIST), Luxembourg Jean‑Sébastien Sottet — Luxembourg Institute of Science and Technology (LIST), Luxembourg Jean‑Marie Favre — Université Grenoble Alpes, France === Contact === david.manrique@list.lu |
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