The 4th Workshop on Artificial Intelligence and Model-driven Engineering
MDE Intelligence 2022
- URL: https://mde-intelligence.github.io/
- Event Date: 2022-10-23 ~ 2022-10-28
- Abstract Submission Date: 2022-07-13
- Submission Date: 2022-07-20
- Location: Montreal, Canada
As usual, MDE Intelligence 2022 is going to be co-located with MODELS 2022 (ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems)
Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest:
1. Artificial Intelligence for MDE. MDE can benefit from integrating AI concepts and ideas to increase its power: flexibility, user experience, quality, etc. For example, using model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors.
2. MDE for Artificial Intelligence. AI is software, and as such, it can benefit from integrating concepts and ideas from MDE that have been proven to improve software development. For example, using domain-specific languages allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of explainable AI.
OBJECTIVES
This workshop aims to bring together researchers from MDE and AI backgrounds as well as researchers and practitioners from other domains with problems that might be addressed by a combination of such approaches to explore opportunities for cross-pollination, collaboration, and exciting new research avenues. It also provides an opportunity to expand on the main conference's theme “modelling for social good”. Specifically, it has three objectives:
1. Grow a community of researchers and practitioners interested in combining AI and MDE towards “MDE Intelligence”;
2. Highlight recent results in combining AI and MDE techniques; and
3. Collect and collate challenges and case studies to help the community to develop a common set of problems and a shared language.
TOPICS
Topics of interest for the workshop include, but are not limited to:
AI for MDE:
• Application of (meta-heuristic) search to modelling problems;
• ML of (meta-)models, concrete syntax, model transformations, etc.;
• AI planning applied to (meta-)modelling, and model management;
• AI-supported modelling (e.g., bots, recommenders, UI adaptation, etc.)
• Semantic reasoning, knowledge graphs or domain-specific ontologies;
• AI-supported model-based digital twins;
• Data quality and privacy issues in AI for MDE.
MDE for AI:
• Domain-specific modeling approaches for AI planning, machine learning, etc;
• Model-driven processes for AI system development;
• MDE techniques for explainable and fair AI;
• Using models for knowledge representation;
• Code-generation for AI libraries and platforms;
• MDE for federated learning.
General:
• Tools;
• Experience reports, case studies, and empirical studies;
• Challenges.
ORGANIZING COMMITTEE:
• Dominik Bork (TU Wien, Vienna, Austria)
• Lola Burgueño (UOC, Spain)
• Phuong T. Nguyen (University of L’Aquila, Italy)
• Steffen Zschaler (KCL, UK)
PROGRAM COMMITTEE (tentative)
• Shaukat Ali (Simula Research Laboratory, Norway)
• Ángela Barriga (Western Norway University of Applied Sciences, Norway)
• Jessie Carbonnel (Université de Montréal, Canada)
• Francisco Chicano (University of Málaga, Spain)
• Ludovico Iovino (Gran Sasso Science Institute, Italy)
• Lawrence Mandow (University of Málaga, Spain)
• Shekoufeh Kolahdouz Rahimi (University of Isfahan, Iran)
• Aurora Ramírez (University of Córdoba, Spain)
• Bernhard Rumpe (RWTH Aachen University, Germany)
• Adrian Rutle (Western Norway University of Applied Sciences, Norway)
• Rijul Saini (McGill, Canada)
• Matthew Stephan (Miami University, USA)
• Daniel Strüber (Radboud University Nijmegen, Netherlands)
• Gabriele Taentzer (Philipps-Universität Marburg, Germany)
• Marina Tropmann-Frick (Hamburg University of Applied Sciences, Germany)
SUBMISSIONS:
You are invited to submit to one of the following categories:
• Research papers: 8 pages.
• Vision papers, experience papers or demos: 5 pages.
Submitted papers must follow the same style and format as the main tracks of the MODELS conference.
Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest:
1. Artificial Intelligence for MDE. MDE can benefit from integrating AI concepts and ideas to increase its power: flexibility, user experience, quality, etc. For example, using model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors.
2. MDE for Artificial Intelligence. AI is software, and as such, it can benefit from integrating concepts and ideas from MDE that have been proven to improve software development. For example, using domain-specific languages allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of explainable AI.
OBJECTIVES
This workshop aims to bring together researchers from MDE and AI backgrounds as well as researchers and practitioners from other domains with problems that might be addressed by a combination of such approaches to explore opportunities for cross-pollination, collaboration, and exciting new research avenues. It also provides an opportunity to expand on the main conference's theme “modelling for social good”. Specifically, it has three objectives:
1. Grow a community of researchers and practitioners interested in combining AI and MDE towards “MDE Intelligence”;
2. Highlight recent results in combining AI and MDE techniques; and
3. Collect and collate challenges and case studies to help the community to develop a common set of problems and a shared language.
TOPICS
Topics of interest for the workshop include, but are not limited to:
AI for MDE:
• Application of (meta-heuristic) search to modelling problems;
• ML of (meta-)models, concrete syntax, model transformations, etc.;
• AI planning applied to (meta-)modelling, and model management;
• AI-supported modelling (e.g., bots, recommenders, UI adaptation, etc.)
• Semantic reasoning, knowledge graphs or domain-specific ontologies;
• AI-supported model-based digital twins;
• Data quality and privacy issues in AI for MDE.
MDE for AI:
• Domain-specific modeling approaches for AI planning, machine learning, etc;
• Model-driven processes for AI system development;
• MDE techniques for explainable and fair AI;
• Using models for knowledge representation;
• Code-generation for AI libraries and platforms;
• MDE for federated learning.
General:
• Tools;
• Experience reports, case studies, and empirical studies;
• Challenges.
ORGANIZING COMMITTEE:
• Dominik Bork (TU Wien, Vienna, Austria)
• Lola Burgueño (UOC, Spain)
• Phuong T. Nguyen (University of L’Aquila, Italy)
• Steffen Zschaler (KCL, UK)
PROGRAM COMMITTEE (tentative)
• Shaukat Ali (Simula Research Laboratory, Norway)
• Ángela Barriga (Western Norway University of Applied Sciences, Norway)
• Jessie Carbonnel (Université de Montréal, Canada)
• Francisco Chicano (University of Málaga, Spain)
• Ludovico Iovino (Gran Sasso Science Institute, Italy)
• Lawrence Mandow (University of Málaga, Spain)
• Shekoufeh Kolahdouz Rahimi (University of Isfahan, Iran)
• Aurora Ramírez (University of Córdoba, Spain)
• Bernhard Rumpe (RWTH Aachen University, Germany)
• Adrian Rutle (Western Norway University of Applied Sciences, Norway)
• Rijul Saini (McGill, Canada)
• Matthew Stephan (Miami University, USA)
• Daniel Strüber (Radboud University Nijmegen, Netherlands)
• Gabriele Taentzer (Philipps-Universität Marburg, Germany)
• Marina Tropmann-Frick (Hamburg University of Applied Sciences, Germany)
SUBMISSIONS:
You are invited to submit to one of the following categories:
• Research papers: 8 pages.
• Vision papers, experience papers or demos: 5 pages.
Submitted papers must follow the same style and format as the main tracks of the MODELS conference.
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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