ACM SIGMOD/PODS International Conference on Management Data (SIGMOD 2020)

June 20 - 25, 2021, Portland, Oregon, USA

Scope & Topics

The annual ACM SIGMOD conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. We invite the submission of original research contributions relating to all aspects of data management defined broadly, and particularly encourage submissions on topics of emerging interest in the research and development communities.

Topics of Interest :

• Benchmarking and performance evaluation
• Crowd sourcing
• Data models, semantics, query languages
• Data provenance
• Data visualization
• Data warehousing, OLAP, SQL Analytics
• Database monitoring and tuning
• Database security, privacy, access control
• Database usability
• Databases for emerging hardware
• Distributed and parallel databases
• Graph data management, RDF, social networks
• Information extraction
• Information retrieval and text mining
• Knowledge discovery, clustering, data mining
• Query processing and optimization
• Schema matching, data integration, and data cleaning
• Scientific databases
• Semi-structured data
• Spatio-temporal databases
• Storage, indexing, and physical database design
• Streams, sensor networks, complex event processing
• Transaction processing
• Uncertain, probabilistic, and approximate databases
  
• Machine learning for data management and vice versa
• SIGMOD welcomes submissions on inter-disciplinary work, as long as there are clear contributions to management of data

Paper Submission

All aspects of the submission and notification process will be handled electronically. Submissions must adhere to the paper formatting instructions. Research papers will be judged for quality and relevance through double-blind reviewing, where the identities of the authors are withheld from the reviewers. Author names and affiliations must not appear in the papers, and bibliographic references must be adjusted to preserve author anonymity. Submissions should be uploaded at: https://cmt3.research.microsoft.com/SIGMOD2021 (which will be open for submission starting December 11, 2020).

Important Dates :