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Yurong Cheng <[log in to unmask]>
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Wed, 23 Aug 2023 22:08:07 -0400
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PVLDB Volume 17: Call for Contributions


PVLDB is a scholarly journal for short and timely research papers pursuing a strict quality assurance process. It is distinguished by a monthly submission process with rapid reviews. A paper will appear in PVLDB soon after acceptance, and possibly in advance of the VLDB conference. All papers accepted for Volume 16 by June 16, 2024 will form the Research Track of the VLDB 2024 conference, together with any rollover papers from Volume 16. Papers accepted to Volume 17 after June 15, 2024 will be rolled over to the VLDB 2025 conference. 

***Scope of PVLDB***

The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission's topic of the journal's editorial board. Finally, the contributions in the submission should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.

***Four Paper Categories***

There are four equally important categories of papers in the research track:
-Regular Research Papers
-Scalable Data Science Papers (SDS)
-Experiment, Analysis & Benchmark Papers (EA&B)
-Vision Papers
See Submission Guidelines for page limits for these categories.

***Topics of Interest***

PVLDB welcomes original research papers on a broad range of topics related to all aspects of data management. The themes and topics listed below are intended to serve primarily as indicators of the kinds of data-centric subjects that are of interest to PVLDB – they do not represent an exhaustive list.

Data Mining and Analytics
- Data warehousing, OLAP, parallel and distributed data mining
- Mining/analysis of different types of data (e.g., scientific/business, social networks, streams, text, web, graphs, rules, patterns, logs, and spatio-temporal)

Data Privacy and Security
- Access control and privacy
- Blockchain

Database Engines
- Access methods
- Currency control, recovery, and transactions
- Memory and storage management
- Multi-core processing and hardware acceleration
- Query processing and optimization
- Views, indexing, and search

Database Performance and Manageability
- Administration and manageability
- Tuning, benchmarking, and performance measurement

Distributed Database Systems
- Cloud data management, resource management, database as a service
- Data networking and content delivery
- Distributed analytics
- Distributed transactions

Graph and Network Data
- Graph data management
- Hierarchical, non-relational, and other modern data models
- Social networks

Information Integration and Data Quality
- Data cleaning, data preparation
- Heterogeneous and federated DBMS, metadata management
- Knowledge graphs and knowledge management
- Schema matching, data integration
- Source discovery
- Web data management and Semantic Web

- Data models and query languages
- Schema management and design

Machine Learning, AI, and Databases
- Applied ML and AI for data management
- Data management issues and support for ML and AI

Novel Database Architectures
- Data management on novel hardware
- Embedded and mobile databases
- Energy-efficient data systems
- Real-time databases, sensors and IoT, stream databases
- Video management and analytics systems

Provenance and Workflows
- Debugging
- Process mining
- Profile-based and context-aware data management
- Provenance analytics

Specialized and Domain-Specific Data Management
- Crowdsourcing
- Ethical data management
- Fuzzy, probabilistic, and approximate data
- Image and multimedia databases
- Scientific and medical data management
- Spatial and temporal databases

Text and Semi-Structured Data
- Data extraction
- Information retrieval
- Semi-structured data management, RDF
- Text in databases

User Interfaces
- Data exploration tools
- Database support for visual analytics
- Database usability
- Explainable AI
- Interactive querying and visualization for large data
- NL interfaces to data
- Recommender engine

***Submission Guidelines***

New for Volume 17

- Updated policy for conflicts of interest, with a stricter definition than in the past; see Conflict and Authorship
- Updated conflict declaration on CMT. Note that each author is now required to enter individual domain and PC conflicts on the submission site; see Conflict and Authorship
- Updated guidelines for submitting supplementary material for Transparency and Reproducibility

Detailed guidelines can be found at the following link:

***Submission Process and Deadlines***

The process will be carried out over 12 submission deadlines during the year preceding the VLDB conference. 

Submission Deadlines: A rolling deadline occurs on the 1st of each month, 5:00 PM Pacific Time (Daylight Savings observed according to the US calendar). The first monthly submission deadline for PVLDB Volume 17 is April 1, 2023. The final deadline is March 1, 2024.

More details on deadlines can be found at the following link:

*** Conflict and Authorship***

To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with members of the Editorial Board. X and Y have a conflict of interest if any of the following applies:

X and Y have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses within the same university system do not count as the same university for this purpose - UC Berkeley does not have a conflict with UC Santa Barbara.

X has been a co-author of a paper with Y in the last 3 years, or of 4 (or more) papers in the last 10 years.

X has been a collaborator within the past two years, as evidenced in a joint publication (subsumed by the stricter rule on co-authorship above), joint research project, or co-organizing events (e.g., co-chairs of conferences), or are collaborating now (including co-authorship on papers not resulted in final publication yet).

X is the PhD thesis advisor of Y or vice versa, irrespective of how long ago this was.

X is a relative or close personal friend of Y.

It is the full responsibility of all authors of a paper to identify and declare all COIs with members of the Editorial Board (reviewers, Associate Editors, and Editors-in-Chief) prior to the submission deadline. Submissions with undeclared conflicts or spurious conflicts will be desk-rejected.

***Committees and Chairs***

Honorary General Chairs
- Lionel M. Ni, HKUST-GZ, President

General Chairs
- Bin Cui, Peking University

Program Committee Chairs
- Meihui Zhang, Beijing Institute of Technology
- Cyrus Shahabi, University of Southern California

Associate Editors
- Alkis Polyzotis, Databricks
- Amol Deshpande, University of Maryland at College Park
- Angela Bonifati, Lyon 1 University
- Ashraf Aboulnaga, Qatar Computing Research Institute, HBKU
- Ashwin Machanavajjhala, Duke
- Beng Chin Ooi, NUS
- Boris Glavic, Illinois Institute of Technology
- Ce Zhang, ETH
- Divy Agrawal, University of California, Santa Barbara
- Eric Lo, Chinese University of Hong Kong
- Fatma Ozcan, Google
- Guoliang Li, Tsinghua University
- Jeffrey Xu Yu, Chinese University of Hong Kong
- Jian Pei, Simon Fraser University
- Jianliang Xu, Hong Kong Baptist University
- Johannes Gehrke, Microsoft
- K. Selçuk Candan, Arizona State University
- Kyuseok Shim, Seoul National University
- Li Xiong, Emory University
- Magdalena Balazinska, UW
- Matthias Boehm, Technische Universität Berlin
- Melanie Herschel, Universität Stuttgart
- Michael Böhlen, University of Zurich
- Nikos Mamoulis, University of Ioannina
- Pinar Tozun, IT University of Copenhagen
- Rachel Pottinger, Univ. of British Columbia
- Sharad Mehrotra, U.C. Irvine
- Surajit Chaudhuri, Microsoft
- Tamer Özsu, University of Waterloo
- Tien Tuan Anh Dinh, Deakin University
- Walid Aref, Purdue University
- Wei Wang, ByteDance
- Xiaokui Xiao, National University of Singapore
- Yanyan Shen, Shanghai Jiao Tong University
- Yongxin Tong, Beihang University
- Zi Huang, University of Queensland

Local Arrangements Chairs
- Jing Tang, HKUST-GZ
- Lei Li, HKUST-GZ
- Libin Zheng, Sun Yat-sen University

Publicity Chair
- Yurong Cheng, Beijing Institute of Technology
- Zhaojing Luo, National University of Singapore

Artifact Chair
- Tianzheng Wang, Simon Fraser University

Industrial, Application and Experience Program Chairs
- Divesh Srivastava, AT&T
- Nesime Tatbu, Intel & MIT

Demonstration Chairs
- Sihem Amer-Yahia, CNRS & Univ. Grenoble Alpes
- Yongxin Tong, BUAA
- Yuncheng Wu, National University of Singapore

PhD Workshop Chairs
- Wook-Shin Han, Pohang University of Science and Technology
- Cong Yu, Celonis

Workshop Chairs
- Themis Palpanas, University Paris Cite
- Philippe Bonnet, IT University of Copenhagen

Panel Chairs
- M. Tamer Özsu, University of Waterloo
- Xiaofang Zhou, HKUST

Tutorial Chairs
- Li Xiong, Emory University
- Torsten Grust, Universität Tübingen

Proceedings Chairs
- Ju Fan, Renmin University
- Xiaoou Ding, HIT

Diversity, Equality and Inclusion Chairs
- Avrilia Floratou, Microsoft Research

Web Chair
- Xiayu Lei, HKUST-GZ

This call for papers and additional information can be found at


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