Difference between revisions of "DBPL 2020"
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|has workshop chair=Yasunori Ishihara, Oleg Kiselyov | |has workshop chair=Yasunori Ishihara, Oleg Kiselyov | ||
|Has PC member=Alexander Alexandrov, Aggelos Biboudis, George H. L. Fletcher, Torsten Grust, Hideyuki Kawashima | |Has PC member=Alexander Alexandrov, Aggelos Biboudis, George H. L. Fletcher, Torsten Grust, Hideyuki Kawashima | ||
| + | |pageCreator=Kerrin.Hogrefe | ||
| + | |pageEditor=Kerrin.Hogrefe | ||
| + | |contributionType=1 | ||
}} | }} | ||
| + | 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 | ||
Latest revision as of 19:49, 1 April 2022
| 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 | |
| Location: | Tokyo, Japan |
| Important dates | |
| Papers: | 2020/05/04 |
| Submissions: | 2020/05/04 |
| Notification: | 2020/06/28 |
| Camera ready due: | 2020/07/26 |
| Committees | |
| Workshop chairs: | Yasunori Ishihara, Oleg Kiselyov |
| PC members: | Alexander Alexandrov, Aggelos Biboudis, George H. L. Fletcher, Torsten Grust, Hideyuki Kawashima |
| Table of Contents | |
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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