Topics of Interest
The aim of this workshop is to bring together researchers and practitioners interested in developing data-intensive applications that analyze big spatio-temporal/societal data, in order to foster the exchange of new ideas on multidisciplinary real-world problems, propose innovative solutions, and stimulate further research in the area of big spatio-temporal/societal data management and analysis. The workshop intends to bridge the gap between researchers and domain experts, most importantly to raise awareness of real-world problems in critical domains which require novel data management solutions, tailored to addressing the specific needs of each domain. Multiple fields of data management relate to the objectives of this workshop, which is expected to provide a forum for discussion and collaboration, including: spatio-temporal data management, spatial social data, stream processing, data integration, mobility analytics, big data platforms, parallel data processing, data preparation, pattern interpretation, efficient mining tools, privacy issues, new applications, predictive analytics, complex event detection, and visual analytics.
Topics of interest include, but are not limited to:
- Management/mining of spatio-temporal/societal data
- Modeling and representation of semantic spatio-temporal/societal data
- Learning models for spatio-temporal/societal data
- Integration of big spatio-temporal/societal data with other sources
- Semantic and multi-dimensional interlinking of spatio-temporal/societal data
- Cross-stream processing of spatio-temporal/societal data
- Querying spatio-temporal/societal data
- Parallel and distributed data processing solutions for spatio-temporal/societal data
- Scalable RDF spatio-temporal/societal data management
- Interplay between spatio-temporal/societal data management for visual analytics and other analytics tasks for detection and prediction of events or trajectories
- Spatial optimization for crowdsourcing
- Indoor/Outdoor trajectory mining
- Mobile computing for spatial social applications
- Dynamic analysis of social and spatial systems
- Individual or collective user behavior mining
- Cognitive computing in spatial social systems
- Trust management with spatio-temporal/societal data
- Spatio-temporal optimization for multi-agent systems
- Novel and innovative applications of big spatio-temporal/societal data
- Systems and demonstrations of novel applications
Details and Dates
We welcome full research papers, as well as vision/demo/poster/breaking research papers. Paper submissions should be limited to a maximum of 8 pages. Research papers must follow the VLDB Proceedings Format (formatting guidelines: here).
Accepted papers of the workshop will be invited for publication in a special issue of GeoInformatica journal (Springer)
- Important dates
Abstract due: May 4, 2018- Paper due:
May 11, 2018May 21, 2018 - Notification of acceptance: June 20, 2018
- Workshop date: Aug 31, 2018
*All deadlines are at 11:59PM Pacific Daylight Time.