8th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS 2017)

Nowadays, it is the era of “Big Data” where large amounts of real-time streaming data are emitted from sensors, imagery and mobile devices. In addition to the temporal nature of this stream data, various sources provide stream data that has geographical locations and/or spatial extents, such as geotagging twitter streams, mobile GPS location streams, spatial temporal image streams, and so on. On one hand, this amount of streamed data has been a major propeller to advance the state of the art in geographic information systems. On the other hand, the ability to process, mine, and analyze that massive amount of data in a timely manner prevented researchers from making full use of the incoming stream data. The geostreaming term refers to the ongoing effort in academia and industry to process, mine and analyze stream data with geographic and spatial information.

This workshop addresses the research communities in both stream processing and geographic information systems. It brings together experts in the field from academia, industry and research labs to discuss the lessons they have learned over the years, to demonstrate what they have achieved so far, and to plan for the future of “GeoStreaming”. We encourage researchers from academia and industry to submit papers that highlight the value of GeoStream data processing, analyzing, and mining on topics that include, but not limited to the following:

• Spatio-temporal stream systems
• Spatio-temporal stream query processing
• Real-time mining of spatial and spatio-temporal data
• Location-aware stream systems
• Privacy preserving in mobile object databases
• Traffic monitoring and prediction
• Geosensing technologies and their application
• Geosampling and probabilistic spatial stream query processing
• Real-time geographical information extraction and retrieval
• Geosocial networks
• Main memory and/or real time indexing of moving objects
• Real-time spatial data visualization
• Spatio-temporal stream processing on cloud
• Participatory spatio-temporal data streams and Volunteered Geographic Information (VGI) systems
• Use of hardware acceleration in real-time stream processing
• The use of stream processing in traffic management, aerospace, earthquake physics, geodynamics, weather forecasting, asset management and scientific applications