The 1st International APWeb-WAIM Workshop on Spatial-rich Big Data Management and applications (SRBDMA2025)

Workshop Aim and Scope

Spatial-rich data primarily include spatial, temporal, spatio-temporal and mobile data. The importance of such data has increased significantly in various scientific fields, such as climate research, biodiversity, and the social sciences, primarily due to improvements in data collection and accessibility. We welcome contributions spanning modeling, storage, accessing, analytics, mining, learning, visualization, benchmarking and applications across diverse domains, reflecting the growing significance of spatial-rich data in today’s data-driven world.

The 1st International APWeb-WAIM Workshop on Spatial-rich Big Data Management and applications (SRBDMA2025) will take place on August 28th-30th, 2025, Shenyang, China, in conjunction with APWeb-WAIM which is an annual international conference on Web and Big Data. The objective of SRBDMA2025is to provide a dedicated forum to bring together researchers, practitioners and others to share and exchange ideas, practical development experiences and the latest research results on spatial-rich big data management and applications. SRBDMA2025 will provide an excellent opportunity for the researchers from academia and industry as well as practitioners to showcase the latest advances in this area and to discuss future research directions and challenges on spatial-rich big data management and applications.

Submission Guidelines

The workshop’s scope includes all important aspects of spatial-rich data technology including foundation data model, data quality, data storage and access methods, query optimization and processing, data analytics, especially for applications in fields. The topics of interest for SRBDMA include, but are not limited to:

• Foundation models
• Spatial-rich data models, representation and standards
• Data approximation, sampling and compressing
• Data types and conceptual modeling
• Computational geometry
• Data storage, accessing and processing
• Storing and accessing methods
• Data partition and integration
• Indexing structures
• Parallel and distributed algorithms
• Data mining and analytics
• Spatial-rich data correlation and regression
• Spatial-rich data statistical methods
• Data quality and streaming processing
• Pattern recognition and clustering
• Spatial and spatio-temporal contextual reasoning
• Machine learning
• Embedding learning for Spatial-rich data
• Enhance large language models by spatial-rich data
• Data prediction and outlier detection
• Visualization and interaction
• Visualization techniques and animation
• Natural language queries and NL2SQL for spatial-rich data
• Benchmarking and evaluation
• Benchmark data
• experiments and performance evaluatio
• Spatio-temporal and mobile applications
• Location-based services
• Moving objects applications
• Recommendation systems
• Indoor data applications
• Retrieval-augmented Models for Geospatial Applications
• Case studies and visions for spatial-rich data

Paper Submission Guidelines:

https://cmt3.research.microsoft.com/APWebWAIM2025
Select the track: Workshop-SRBDMA

Important Dates

*All deadlines are 23:59 Anywhere on Pacific time.

Organizers

• Workshop Chair
  Jianqiu Xu (jianqiu@nuaa.edu.cn) Nanjing University of Aeronautics and Astronautics, China
• Program Committee Members