Conference Information
EDBT 2026: International Conference on Extending Database Technology
https://edbticdt2026.github.io/Submission Date: |
2025-10-08 |
Notification Date: |
2025-11-27 |
Conference Date: |
2026-03-24 |
Location: |
Tampere, Finland |
Years: |
29 |
CCF: b CORE: a QUALIS: a2 Viewed: 47423 Tracked: 114 Attend: 19
Call For Papers
The annual International Conference on Extending Database Technology (EDBT) is a leading international forum for researchers, developers, and users to present and discuss cutting-edge ideas, and to exchange techniques, tools and experiences related to data management. The conference invites submissions of original research contributions related to all aspects of data management. We particularly encourage submissions that focus on the following themes: The design and use of novel data science systems Synergies between database theory and database systems Synergies between data management and HCI Synergies between data management and machine learning Synergies between data management and modern hardware Ethical, social, and legal issues of database technology A list of specific topics of interest is provided below and is by no means exhaustive: Availability, reliability, and scalability Benchmarking and performance evaluation Big data storage, processing, and transformation Cloud data management Complex event processing and data streams Concurrency control, recovery, and transaction management Crowdsourced and collaborative data management Data economy, data markets Data integration, heterogeneous data management, and schema integration Data intensive and data driven systems for ML/AI Data management and analytics for semantic web and social networks Data mining and knowledge discovery Data models and semantics Data platforms for modern hardware, and modern hardware for data platforms Data quality, curation, and provenance Data sovereignty, privacy, security, and access control Data system benchmarking, tuning, monitoring, and performance evaluation Data visualization, exploration and user interfaces Data warehousing, large-scale analytics, and ETL tools Distributed and parallel data management, distributed ledgers, and blockchains Graph data management Green data management Human-data interaction Knowledge graphs and knowledge management Machine learning methods for data and database tuning Metadata management and standards Middleware and workflow management Natural language processing for databases Query processing and optimization techniques Querying of unstructured and multimedia datasets Responsible data management and ethics Scientific and statistical data management Semi-structured data management Sensor, IoT, and mobile data management Spatial, temporal, and geographic data management Storage, indexing, and physical database design Text data management and information retrieval Uncertain, probabilistic, and approximate data management Usability, automaticity, interpretability, and explainability of data systems
Last updated by Dou Sun in 2024-11-16
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IET Computers and Digital Techniques | 0.484 | IET | 1751-8601 | |
Algorithms for Molecular Biology | 1.500 | Springer | 1748-7188 | |
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Full Name | Impact Factor | Publisher |
---|---|---|
IET Computers and Digital Techniques | 0.484 | IET |
Algorithms for Molecular Biology | 1.500 | Springer |
Journal of the Association for Information Science and Technology | 2.800 | John Wiley & Sons |
Cybernetics and Systems Analysis | 0.500 | Springer |
Materials Chemistry and Physics | 4.300 | Elsevier |
IT Professional | 2.200 | IEEE |
IEEE Computational Intelligence Magazine | 10.30 | IEEE |
Design Automation for Embedded Systems | 0.900 | Springer |
Foundations and Trends in Signal Processing | 1.700 | Now Publishers Inc. |
Law, Innovation and Technology | Taylor & Francis |
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