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DASFAA-2022 welcomes high-quality, original, and previously unpublished submissions in database theory, technology, and practice.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 managemen
RDF and knowledge graphs 	
Query processing and optimization 	
Text databases 	
Information integration
Multimedia databases 	
Multimedia data processing 	
Cloud data managemen 	
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) 	
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 	
Crowdsourcing 	
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