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EDBT 2016 : 19th International Conference on Extending Database Technology


Conference Series : Extending Database Technology
When Mar 15, 2016 - Mar 18, 2016
Where Bordeaux, France
Abstract Registration Due Sep 21, 2015
Submission Deadline Sep 28, 2015
Notification Due Dec 10, 2015
Final Version Due Jan 10, 2016
Categories    database

Call For Papers

EDBT 2016 Call for Papers
The International Conference on Extending Database Technology is a leading international forum for database researchers, practitioners, developers, and users to discuss cutting-edge ideas, and to exchange techniques, tools, and experiences related to data management. Data management is an essential enabling technology for scientific, engineering, business, and social communities. Data management technology is driven by the requirements of applications across many scientific and business communities, and runs on diverse technical platforms associated with the web, enterprises, clouds and mobile devices. The database community has a continuing tradition of contributing with models, algorithms and architectures, to the set of tools and applications enabling day-to-day functioning of our societies. Faced with the broad challenges of today's applications, data management technology constantly broadens its reach, exploiting new hardware and software to achieve innovative results.

EDBT 2016 invites submissions of original research contributions, as well as descriptions of industrial and application achievements, and proposals for tutorials and software demonstrations. We encourage submissions relating to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in the research and development communities.

Topics of Interest
We welcome papers on topics including, but not limited to, the following:

Availability, Reliability, and Scalability
Tuning, Monitoring, Benchmarking and Performance Evaluation
Big Data Storage, Processing and Transformation
Data Curation, Annotation and Provenance
Data Management in Clouds
Complex Event Processing and Data Streams
Data Mining and Knowledge Discovery
Data Warehousing, Large-Scale Analytics, and ETL Tools
Emerging Hardware and In-memory Database Architecture and Systems
Heterogeneous Databases, Data Integration and Interoperability
Middleware and Workflow Management
Parallel, Distributed and Grid Data Management
Privacy, Trust and Security in Databases
Indexing, Query Processing and Optimization
Semantic Web and Knowledge Management
Sensor and Mobile Data Management
Scientific and Statistical Databases
Social Networks and Crowdsourcing
Graph Databases
Spatial, Temporal, and Geographic Databases
Text Databases and Information Retrieval
Semi-Structured and Linked Data Management
Modeling, Mining and Querying User Generated Content
Data Quality
User Interfaces and Data Visualization

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