DBPL 2020

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DBPL 2020
18th International Symposium on Database Programming Languages
Event in series DBPL
Dates 2020/09/04 (iCal) - 2020/09/04
Homepage: https://dbpl.vldb2020.org/
Submitting link: https://easychair.org/conferences/?conf=dbpl2020
Location: Tokyo, Japan
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Important dates
Papers: 2020/05/04
Submissions: 2020/05/04
Notification: 2020/06/28
Camera ready due: 2020/07/26
Workshop chairs: Yasunori Ishihara, Oleg Kiselyov
PC members: Alexander Alexandrov, Aggelos Biboudis, George H. L. Fletcher, Torsten Grust, Hideyuki Kawashima
Table of Contents



The DBPL symposium is aimed at improving understanding, and facilitating exchange of ideas, between data management and programming languages research, broadly construed.

For over 30 years, DBPL has established itself as the principal venue for publishing and discussing new ideas and problems at the intersection of data management and programming languages. Many key contributions relevant to the formal foundations, design, implementation, and evaluation of query languages (e.g., for object-oriented, nested, or semi-structured data) were first announced at DBPL.


  • Language-Integrated Query Mechanisms
  • Emerging and Nontraditional Data Models
  • Compiling Query Languages to Modern Hardware
  • Data-Centric Programming Abstractions, Comprehensions, Monads
  • Data Integration, Exchange, and Interoperability
  • Data Synchronization and Bidirectional Transformations
  • Declarative Data Centers (e.g., distributed query processing, serverless computing platforms, social computing platforms, etc)
  • Language-Based Security in Data Management
  • Managing Uncertain and Imprecise Information
  • Metaprogramming and Heterogeneous Staged Computation
  • Programming Language Support for Data-Centric Programming (e.g., databases, web programming, machine learning, etc)
  • Query Compilation and In-memory Databases
  • Query Language Design and Implementation
  • Query Transformation and Optimization
  • Schema Mapping and Metadata Management
  • Semantics and Verification of Database Systems
  • Stream Data Processing and Query Languages
  • Type and Effect Systems for Data-Centric Programming