DASFAA 2023: The 28th International Conference on Database Systems for Advanced Applications
April 17-20, 2023 | Tianjin, China

Call for Research Papers

Important Dates
Abstract submission: (extended) November 04, 2022
Full paper submission: (extended) November 11, 2022
Acceptance Notification: January 09, 2023
Camera Ready: January 23, 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.

Topics
DASFAA-2023 welcomes high-quality, original, and previously unpublished submissions in database theory, technology, and practice.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: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Submission Website
https://cmt3.research.microsoft.com/DASFAA2023

Contact Information
If you have any questions, please feel free to contact us at dasfaa2023@tju.edu.cn