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 of streaming spatio-temporal/societal data
- Modeling and representation of semantic 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 and mining spatio-temporal/societal data
- Parallel and distributed data processing solutions for spatio-temporal/societal data
- Scalable RDF spatio-temporal/societal data management
- NoSQL stores for spatio-temporal/societal RDF data
- Interplay between spatio-temporal/societal data management for visual analytics and other analytics tasks for detection and prediction of events or trajectories
- Novel and innovative applications of big spatio-temporal/societal data
- Spatial social data generators
- Spatial and social data cleaning, compression and recovery
- Spatial social network analysis
- Event/Link prediction in spatial social networks
- Spatial optimization for crowdsourcing
- Indoor/Outdoor trajectory mining
- Mobile computing for spatial social applications
- Trajectory analysis and mining in social media
- Location prediction in social networks
- Fraud detection in spatial social networks
- Dynamic analysis of social and spatial systems
- Individual or collective user behavior mining
- Cognitive computing in spatial social systems
- Recommendation methods with spatial social data
- Influential user mining in spatial social networks
Details and Dates
We welcome full research papers, as well as short papers/vision papers/demos. Full research paper submissions should be limited to a maximum of 15 pages. Short/vision papers and demos should be limited to a maximum of 4 pages. For your paper to be included in the Springer proceedings, the LNCS format is required.
*All deadlines are at 11:59PM Pacific Daylight Time.