Conference Information
EDBT 2023: International Conference on Extending Database Technology
http://edbticdt2023.cs.uoi.gr/
Submission Date:
2022-09-30
Notification Date:
2022-07-13
Conference Date:
2023-03-28
Location:
Ioannina, Greece
Years:
26
CCF: b   CORE: a   QUALIS: a2   Viewed: 36468   Tracked: 106   Attend: 17

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;
* legal, social, and ethical implications of database technology; and
* synergies between data management and machine learning.

A list of specific topics of interest is provided below, and is by no means exhaustive:

* Availability, reliability, and scalability
* Big data storage, processing and transformation
* Complex event processing and data streams
* Concurrency control
* Recovery and transaction management
* Data management in the cloud
* Data mining and knowledge discovery
* Data quality, curation, and provenance
* Data warehousing
* Large-scale analytics and ETL tools
* Emerging hardware and in-memory databases
* Graph databases and semantic web
* Heterogeneous databases, data integration
* Middleware and workflow management
* Parallel, distributed, and grid data management
* Privacy, security, and data protection
* Query processing and optimization
* Responsible data management
* Scientific and statistical databases
* Semi-structured and linked data management
* Sensor and mobile data management
* Social networks and crowdsourcing
* Spatial, temporal, and geographic databases
* Text databases and information retrieval
* Transparency, interpretability, and explainability
* Tuning and monitoring
* Benchmarking and performance evaluation
* User interfaces and data visualization
Last updated by He Yaru in 2022-09-26
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