Conference Information

EDBT 2027: International Conference on Extending Database Technology

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Register Login
Embed deadline badge
EDBT
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-10-07 Due in 4 days
Notification Date:
2026-12-05
Conference Date:
2027-04-06
Location:
Lille, France
Years:
30
CCF: B   ICORE: B   QUALIS: A2   Viewed: 172916   Tracked: 116   Attend: 19

Conference Partner Index (CP-I)

73.4 / 100
Ranked #284 of 5,693 conferences · Top 5%

#14 of 337 in Data Mining & Databases

Academic recognition (35%)
92
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
92
Community attention (10%)
75
Public record completeness (15%)
35

Inputs used: Listed as CCF B, ICORE B, QUALIS A2 · Editions on record: 30 · Researchers following it here: 116 · Researchers who opened this page in the past 24 months: 45

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-03

Call For Papers

EDBT 2027 (International Conference on Extending Database Technology) is a CCF B / ICORE B / QUALIS A2 conference held in Lille, France on 2027-04-06. The paper submission deadline is 2026-10-07. Acceptance notifications are sent on 2026-12-05.

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. A list of specific topics of interest is provided below and is by no means exhaustive:: Data Infrastructure & Systems Architecture Cloud data management High-availability systems Data management on modern hardware Distributed and parallel data management Storage, indexing, and physical database design Middleware and workflow management Sustainable and energy-efficient data management Data Processing & Query Management Query processing and optimization techniques Concurrency control, recovery, and transaction management Complex event processing and data streams Benchmarking and performance evaluation Data Models, Integration & Quality Data models and semantics Data integration, heterogeneous data management Schema mapping, matching, and integration Data quality, data profiling, data preparation, and data cleaning Data lakes and data discovery Metadata management and standards Query languages Provenance Uncertain, probabilistic, and approximate data Data management and AI Machine learning methods for data and database tuning Data-intensive and data-driven systems for ML/AI Tabular foundation models and LLMs Natural language processing for databases Multi-modal data Data management for ML/AI models Specialized Data Types & Domains Data lakes Graph data Spatial and temporal data Sensor, IoT, and mobile data Text data, extraction, and information retrieval Unstructured data and multimedia data Scientific and statistical data Analytics, Intelligence & Discovery Data mining and knowledge discovery Data warehousing, large-scale analytics, and ETL tools Process mining Knowledge graphs and knowledge management Semantic web and social networks Governance, Ethics & Human Interaction Privacy, security, and access control Responsible data management and ethics Data economy, data markets, data sovereignty Crowdsourced and collaborative data management Human-data interaction Data visualization, exploration, and user interfaces Usability, automaticity, interpretability, and explainability of data systems
Last updated by Dou Sun on

People who viewed this also viewed

CCFICORECP-IShortFull NameSubmissionConference
BB74.5DASFAAInternational Conference on Database Systems for Advanced Applications2026-11-222027-05-28
CA80.5ECIREuropean Conference on Information Retrieval2026-09-212027-03-21
BA71.7ICDTInternational Conference on Database Theory2026-09-032027-04-06
BB92.9COLINGInternational Conference on Computational Linguistics2026-10-122027-05-09
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
AA*81.3SIGMODACM Conference on Management of Data2026-10-102027-06-13
AA*97.3ICDEInternational Conference on Data Engineering2026-11-112027-05-17
AA*97.0The Web ConferenceThe ACM Web Conference2026-10-182027-05-10
BB61.1DCCData Compression Conference2026-10-022027-03-23
BA*94.5PerComInternational Conference on Pervasive Computing and Communications2026-09-042027-03-08

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
CKnowledge-Based Systems7.2Elsevier0950-7051
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CDistributed and Parallel Databases0.9Springer0926-8782
BJournal of Systems and Software3.8Elsevier0164-1212
CFuture Generation Computer Systems5.9Elsevier0167-739X
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255

Comments 0

No comments yet.

Please Login to post a comment