EDBT 2020

EDBT 2020
23rd International Conference on Extending Database Technology
Event in series	EDBT
Dates	2020/03/30 (iCal) - 2020/04/02
Homepage:	https://diku-dk.github.io/edbticdt2020/
Twitter account:	@edbticdt2020
Location
Location:	Copenhagen, Denmark
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Important dates
Abstracts:	2019/10/07
Papers:	2019/10/11
Demos:	2019/11/29
Notification:	2019/11/22
Camera ready due:	2020/01/24
Registration link:	https://diku-dk.github.io/edbticdt2020/?contents=registration.html
Accepted short papers:	26
Early bird student:	€ 500 / {{{Early bird fee reduced}}}Property "Early bird fee reduced" (as page type) with input value "{{{Early bird fee reduced}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process. (reduced)
On site student:	€ 700 / {{{On site fee reduced}}}Property "On site fee reduced" (as page type) with input value "{{{On site fee reduced}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process. (reduced)
Early bird regular:	€ 650
On site regular:	€ 850
Papers:	Submitted 151 / Accepted 30 (19.9 %)
Table of Contents
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EDBT 2020 is held as joint conference with ICDT 2020. Due to the Coronavirus outbreak in early 2020 the EDBT/ICDT will be held as first online database conference ever.

Topics of Interest for Regular Research Papers

We encourage submissions of research papers related to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in the database research and development communities. We welcome papers on topics including, but not limited to:

• 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 clouds
• Data mining and knowledge discovery
• Data quality, curation, and provenance
• Data warehousing, large-scale analytics and ETL tools
• Emerging hardware and in-memory databases
• Experiments and analysis
• Graph databases and semantic web
• Heterogeneous databases, data integration
• Middleware and workflow management
• Parallel, distributed and grid data management
• Privacy, trust and security in databases
• Query processing and optimization
• 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
• Tuning, monitoring, benchmarking and performance evaluation
• User interfaces and data visualization
• Visionary