Welcome to the 7th APWeb-WAIM International Joint Conference on Web and Big Data(APWeb-WAIM 2023), Wuhan, China, 6-8 October,2023.

It is our great pleasure to present the 7th Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM). The aim of APWeb-WAIM is  attracting professionals of different communities related to Web and Big Data who have common interests in interdisciplinary research to share and exchange ideas, experience and the underlying techniques and applications, including Web technologies, database systems, information management, software engineering and big data. 
The topics of interest, but not limited to:
  • Advanced database and Web applications
  • Big data management and analytics
  • Cloud computing and Crowdsourcing
  • Content management
  • Data and information quality
  • Data management on new hardware
  • Data mining
  • Data warehousing and OLAP
  • Graph data management, RDF, social networks
  • Trusted and interpretable AI
  • Information retrieval
  • E-learning

 

 

  • Knowledge extraction and management
  • Machine Learning
  • Parallel and distributed data management
  • Query processing and optimization
  • Semantic Web and ontology
  • Spatial and temporal databases
  • Streams, complex event processing
  • Text database, keyword search
  • Uncertain data
  • Web search and meta-search
  • Advances in spatial big data processing
  • Data engineering for big remote sensing data

KeyNote Talks

Jie-Lu1

Prof.  Jie Lu

University of Technology Sydney, Australia

IEEE Fellow, IFSA Fellow, Australian Laureate Fellow

Machine Learning for Decision Support in Complex Environments

hanqinglong

Prof. Qing-Long Han

Swinburne University of Technology, Australia

IEEE Fellow, IFAC Fellow, IEAust Fellow, CAA Fellow

Distributed Control and Optimization of Networked Microgrids

haijin

Prof. Hai Jin

Huazhong University of Science and Technology, China

IEEE Fellow, CCF Fellow, life member of the ACM

Dataflow based High Efficient Graph Processing

For more details, please refer to Keynote Speakers.

Invited Tutorials

HaofenWang

Prof. Haofen Wang

Tongji University, China

Semantic Framework for Next-Generation Industrial Knowledge Graphs

Jiawei Jiang

Prof. Jiawei Jiang

Wuhan University, China

Graph Learning for Fraud Detection

Jiang Xiao

Prof. Jiang Xiao

Huazhong University of Science and Technology, China

Blockchain Storage Scalability: State of the Art and Challenges

For more details, please refer to Invited Tutorials.