Conference Information
EDBT 2020: International Conference on Extending Database Technology
https://diku-dk.github.io/edbticdt2020/
Submission Date:
2019-10-07
Notification Date:
2019-11-22
Conference Date:
2020-03-30
Location:
Copenhagen, Denmark
Years:
23
CCF: b   CORE: a   QUALIS: a2   Viewed: 19749   Tracked: 79   Attend: 10

Conference Location
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Call For Papers
The International Conference on Extending Database Technology (EDBT) is a leading international forum for database researchers, developers, and users to present and discuss cutting-edge ideas, and to exchange techniques, tools, and experiences related to data management. Data management is an essential enabling technology for scientific, business, and social communities. Data management technology is driven by the requirements of applications across many scientific, business and social 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 that enable 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 2020 will be held in beautiful Copenhagen, Denmark on March 30-April 2, 2020, invites submissions of original research contributions, including experiment and analysis papers, system papers and visionary papers, as well as descriptions of industrial and application results, and proposals for tutorials and demonstrations. Industrial, demo, tutorial, and short paper submissions will be the subjects of further CFPs.

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

Experiments and Analyses papers

EDBT 2020 also invites the submission of Experiments and Analyses (E&A) papers. E&A submissions focus on a comprehensive and detailed performance evaluation, appropriate methodology, and a fair assessment of the strengths and weaknesses of ideas published in previous work. The scientific contribution of an E&A paper lies in providing new insights into the strengths and weaknesses of existing methods rather than providing new methods. Papers proposing new solutions should be submitted to the regular research track. E&A papers must be marked accordingly, by stating "Experiments and Analyses" as subtitle in the submitted PDF. E&A papers are reviewed by the same program committee as the other research papers, but will be evaluated and assessed as appropriate for E&A papers.

Systems papers

EDBT 2020 further invites the submission of papers that describe novel architectures for data systems, and non-obvious lessons learned in their application and usage. Such systems papers feature details on design goals, system architecture, novel abstractions, and design justifications. The maturity of the systems is demonstrated by an implementation and evaluation of the overall systems’ performance. That is, this paper category targets system overview papers, particular aspects of which may have been explored in detail in prior publications. Systems papers must be marked accordingly, by stating "Systems Paper" as subtitle in the submitted PDF. Systems papers are reviewed by the same program committee as the other research papers, but will be evaluated and assessed as appropriate for systems papers.

Visionary papers

Visionary papers provide a forum for the identification and discussion of new or emerging areas, innovative or risky approaches, or emerging applications that will require extensions to established techniques. A visionary paper does not have to include results already but should:

    Describe an area in which there is a need for significant new results; the vision articulated should be for research that may take years to investigate fully, and for which there may be scope for a variety of approaches.
    Motivate research in the area by making it clear that there are challenging problems to be solved, and that the solutions to these problems would be valuable.
    Motivate future research in the area by making the case that there is a need for substantial technical contributions, such as the provision of new theoretical foundations, the development of new techniques or architectures, or the creation of new communities.

Visionary papers are reviewed by the same program committee as research papers. Visionary papers must be marked accordingly, by stating "Visionary" as subtitle in the submitted PDF, as well as by choosing "Visionary" as primary subject area.

EDBT 2020 invites the submission of visionary papers that describe an area in which there is a need for significant new results; the vision articulated should be for research that may take years to investigate fully, and for which there may be scope for a variety of approaches. 
Last updated by Dou Sun in 2019-09-01
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