MEDI 2023 : 12th International Conference on Model and Data Engineering

Overview
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The Eleventh International Conference on Model & Data Engineering (MEDI) will be held from 2 to 4 November 2023 in Sousse, Tunisia. Its main objective is to provide a forum for the dissemination of research accomplishments and to promote the interaction and collaboration between the models and data research communities. MEDI 2023 provides an international platform for the presentation of research on models and data theory, development of advanced technologies related to models and data and their advanced applications. This international scientific event, initiated by researchers from Euro-Mediterranean countries, aims also at promoting the creation of north-south scientific networks, projects and faculty/student exchanges.

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Topics of interest
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Specific areas of interest to MEDI2023 include but are not limited to:

Modelling and Models Engineering

- Modelling languages and related standards
- Modelling in software and complex system engineering
- Formal methods, analysis, verification & validation
- Model-based testing and performance analyses
- Ontology-based modelling
- Heterogeneous modelling, model integration, interoperability, model transformation
- Collaborative modelling and model repositories
- Models as services and models monitoring
- Modelling for reuse, dependability and maintainability
- Models for privacy, security, trust, risk
- Data privacy and Security
- Models for Data Science
- Models for Explainable AI
- New trends in Business Process Modelling and Analysis

Data Engineering
- New models and architectures for data stores
- Heterogeneous data, data Integration, Interoperability
- Data warehouses, OLAP, data mining and Analytics
- Extending Data Warehousing Technology
- Database system Internals, performance analysis, self-tuning benchmarking and testing
- Database security, personalization, recommendation
- Web databases, Knowledge Graphs
- Service based data management
- Service oriented applications
- Urbanization of database applications
- Data models for AI techniques and Machine Learning
- Data Quality
- Data Analytics
- Business Process monitoring and optimization based on runtime data

Applications and tools
- Industry transfer, experiences
- Applications of modelling for Data Management
- Applications of modelling for Biomedical data and systems
- Modelling tools and experimentation
- Lessons learned and reports related to models/data engineering
- Applications for green technologies

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Important Dates
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Full-paper submission: July 22, 2023
Acceptance notification: September 8, 2023
Early bird registration: September 18, 2023
Camera-ready: September 18, 2023

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Submission Guidelines
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Authors are invited to submit English-language research and application papers representing original, previously unpublished work. Duplicate submissions are not allowed. Papers must be submitted as a single PDF document, via the Easychair system (https://easychair.org/my/conference?conf=medi2023).

Submissions must conform to Springer's LNCS style (Latex style only for camera-ready papers) and should not exceed 14 pages. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition.

The program committee may decide to accept a submission as a short paper if it reports interesting results but does not justify a publication as a full paper.

As for the previous edition of MEDI, all accepted papers including short papers will be published in Springer LNCS series. The book metrics available on SpringerLink to previous MEDI proceedings, https://link.springer.com/conference/medi give details on the number of citations, downloads, and readers at paper level and at book level.

One author of an accepted paper must register to MEDI 2023 in order to have the paper published. Each accepted paper must be presented at the conference by one of the authors.

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General Chairs
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Faiez Gargouri, University of Sfax, Tunisia
Ladjel Bellatreche, ISAE-ENSMA Poitiers, France

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Program Committee Chairs
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Mohamed Mosbah, University of Bordeaux, France
Tahar Kechadi, University College Dulin, Ireland