DBPL 2020

The document "DBPL 2020" was published on "2022-10-19T13:08:21" on the website "ConfIDent" under the URL https://confident-conference.org/index.php/Event:DBPL 2020.

The document "DBPL 2020" describes an event in the sense of a conference.

The document "DBPL 2020" contains information about the event "DBPL 2020" with start date "2020/09/04" and end date "2020/09/04".

The event "DBPL 2020" is part of the event series identified by [[Event Series:DBPL]]

Deadlines

2020-06-28

2020-05-04

2020-07-26

2020-05-04

4 May 2020

Paper

4 May 2020

Submission

28 Jun 2020

Notification

26 Jul 2020

Camera-Ready

Venue

Tokyo, Japan

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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.

Topics

• 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