Welcome to the 28^th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 17-20, 2023, Tianjin, China.

It is our great pleasure to present the 28^th International Conference on Database Systems for Advanced Applications (DASFAA 2023). DASFAA provides a leading international forum for discussing the latest research on database systems and advanced applications. DASFAA is 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, which showcases state-of-the-art R&D activities in the general areas of database systems, Web information systems, and their applications. The conference's long history has established the event as the premier research conference in the database area.

The dominant topics in this year include big data management, machine learning for database, graph data management, graph and social network analysis followed by text and data mining, data management in social networks, recommendation systems, search and recommendation technology, data semantics and data integration, crowdsourcing, spatial data management, network embedding, sequence and temporal data processing, temporal and spatial databases, large-scale knowledge management, RDF and knowledge graphs, social network and security, privacy and trust, medical data mining, bio and health informatics, query processing and optimization, text databases, search and information retrieval, information integration, information recommendation, multimedia databases, multimedia data processing, distributed computing, cloud data management, data archive and digital library, data mining and knowledge discovery, data semantics and integrity constraints, data model and query language, data quality and credibility, data streams and time-series data, data warehouse and OLAP, embedded and mobile databases, databases for emerging hardware, database usability and HCI, HCI for modern information systems, index and storage systems, information extraction and summarization, blockchain, parallel and distributed systems, distributed and P2P systems, probabilistic and uncertain data, real-time data management, Semantic Web and triple data management, knowledge data management, sensor data management, statistical and scientific databases, transaction management, Deep Web, Web data management, Web information systems, advanced database and Web applications, and semi-structured data.

NOTICES

• April 21, 2023: The group photo of the conference has been released.

• April 18, 2023: The proceedings have been published and are available for download: volume 1, volume 2, volume 3, volume 4.

• March 18, 2023: Detailed program released.

• March 4, 2023: Prof. Angela Bonifati, from Lyon 1 University, France, has confirmed to give a keynote speech.

• March 2, 2023: Prof. Kyuseok Shim, from Seoul National University, Korea, has confirmed to give a keynote speech.

• March 1, 2023: Prof. Jianliang Xu, from Hong Kong Baptist University, Hong Kong, China, has confirmed to give a keynote speech.

• March 1, 2023: Dr. Sihem Amer-Yahia, from CNRS, France, has confirmed to give a keynote speech.

• February 27, 2023: Program Overview has been released.

• February 20, 2023: List of accepted PhD consortium papers has been posted.

• February 7, 2023: List of accepted demo papers has been posted.

• February 7, 2023: List of accepted industry papers has been posted.

• February 7, 2023: List of accepted research papers has been posted.

• January 17, 2023: List of accepted tutorials has been posted.

• October 14, 2022: List of accepted workshops has been posted.

KEYNOTE TALKS

Dr. Sihem Amer-Yahia CNRS Towards AI-Powered Data-Informed Education

Prof. Kyuseok Shim Seoul National University Cardinality Estimation of Queries in Database Systems - Where are we now?

Prof. Angela Bonifati Lyon 1 University Property Graphs to Graph Ecosystems: A Round Trip

Prof. Jianliang Xu Hong Kong Baptist University Large-scale Geospatial Analytics: Challenges and Opportunities

HOST INSTITUTION

PUBLICATION

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