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DASFAA-2023 welcomes high-quality, original, and previously unpublished submissions in database theory, technology, and practice.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