Call for Research Papers

CFP poster

Important Dates

Abstract submission: October 28, 2022 November 04, 2022 
Full paper submission: November 04, 2022 November 11, 2022 
Acceptance Notification: January 09, 2023 January 16, 2023
Camera Ready: February 8, 2023
Conference Date: April 17-20, 2023

*All deadlines are 23:59 Anywhere on Earth (AoE) time

Conference Scope

The International Conference on Database Systems for Advanced Applications (DASFAA) is a leading international forum for discussing the latest research on database systems and advanced applications. DASFAA, a well-established international conference series that provides a forum for technical presentations and discussions among database researchers, developers, and users from academia, business, and industry, showcases state-of-the-art R&D activities in the general areas of database systems and their applications.


DASFAA-2023 welcomes high-quality, original, and previously unpublished submissions in database theory, technology, and practice. Topics of interests for the conference include, but not limited to, the following:

 Database theory

  • Deep learning-based query plan optimization
  • Learning-based database monitoring
  • Natural language query interface
  • Data processing in VR/AR/MR
  • Big data management
  • Graph data management
  • Data management in social networks
  • Data semantics and data integration
  • Spatial data management
  • Sequence and temporal data processing
  • Temporal and spatial databases
  • Large-scale knowledge management
  • RDF and knowledge graphs
  • Query processing and optimization
  • Text databases
  • Information integration
  • Multimedia databases
  • Multimedia data processing
  • Cloud data management
  • Data archive and digital library
  • Data model and query language
  • Data streams and time-series data
  • Data warehouse and OLAP
  • Embedded and mobile databases
  • Databases for emerging hardware
  • Parallel and distributed databases
  • Probabilistic and uncertain data
  • Real-time data management
  • Semantic Web and triple data management
  • Semantic Web and knowledge management
  • Sensor data management
  • Statistical and scientific databases
  • Transaction management
  • XML, RDF and semi-structured data
  • Web data management

 Technology and Practice

  • Epidemic propagation modeling for COVID-19 outbreak prediction
  • AI technologies in combating COVID-19 infodemic (e.g., misinformation, conspiracy theories and scams)
  • Data processing in VR/AR/MR
  • Interpretable and expert-driven AI for public health policy towards COVID-19
  • AI technologies for trend detection, analysis and tracing on contact networks
  • Multimodal behavior analysis for self-quarantined users
  • Conversational AI (e.g., chatbots and voice assistants) and virtual agents to provide instant help for self-quarantined users
  • Search and recommendation technology
  • Data semantics and integrity constraints
  • Machine learning for database
  • Graph and social network analysis
  • Text and data mining
  • Network embedding
  • Distributed computing
  • Data mining and knowledge discovery
  • Security, privacy and trust
  • Data quality and credibility
  • Recommendation systems
  • Crowd sourcing
  • Bio and health informatics
  • Search and information retrieval
  • Information recommendation
  • Database usability and HCI
  • HCI for modern information systems
  • Index and storage systems
  • Blockchain
  • Parallel, distributed & P2P systems
  • Medical data mining
  • Deep Web
  • Web information systems
  • Advanced database and Web applications
  • Information extraction and summarization

Paper Submission

Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to DASFAA, originality, significance, and clarity. All paper submissions will be handled electronically. Any submitted paper violating the length, file type, or formatting requirements will be rejected without review. Each submitted paper should include an abstract up to 200 words and be no longer than 16 pages (including references, appendices, etc.) in LNCS (Lecture Notes in Computer Science) format. We encourage authors to cite related work comprehensively. When citing conference papers, please also consider citing their extended journal versions if applicable. All papers must be submitted electronically through the paper submission system in PDF only.

The submitted papers must not be previously published in a refereed journal or conference and must not be under consideration by any other conference or journal during the DASFAA review process. If the paper is accepted, at least one author must complete the regular registration and attend the online conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Accepted papers will be published in the conference proceedings.

Double-Blind Review

DASFAA-2023 will employ a double-blind reviewing process, i.e., the PC members and referees who review the paper will not know the identity of the authors. To ensure the anonymity of authorship, authors must prepare their manuscript as follows:

  • Author's names and affiliations must not appear on the title page or elsewhere in the paper
  • Funding sources must not be acknowledged on the title page or elsewhere in the paper
  • Research group members, or other colleagues or collaborators, must not be acknowledged anywhere in the paper
  • Source file naming must also be done with care, to avoid identifying the author's names in the paper's associated metadata. For example, if your name is Jane Smith and you submit a PDF file generated from a .dvi file called Jane-Smith.dvi, your authorship could be inferred by looking into the PDF file. Submissions must have all details identifying the author(s) removed from the original manuscript (including the supplementary files, if any), and the author(s) should refer to their prior work in the third person and include all relevant citations
  • Submissions having unrefereed pre-prints such as Arxiv are allowed, provided they are not issued within one month of the submission. Authors should make every effort to anonymize their work and, hence, cannot cite their own Arxiv work.

Reviewers will be requested to not try and break the anonymity. Papers that do not follow the guidelines mentioned above, or otherwise potentially reveal the identity of the authors, are subject to immediate rejection. Because of the double-blind review policy, the submission of an extended version of a short paper that has published elsewhere is strongly discouraged in DASFAA-2023.

Formatting Template

Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format:

Submission Website

Contact Information

If you have any questions, please feel free to contact us at

Program Committee Chairs

  • Xin Wang, Tianjin University, China

  • Maria Luisa Sapino, University of Torino, Italy

  • Wook-Shin Han, POSTECH, Korea