Call for Papers
Third ACM International Workshop on Managing Enriched Geo-Spatial Data.San Francisco, USA. (collocated with ACM SIGMOD/PODS 2016).
Both the current trends in technology such as smart phones, general mobile devices, stationary sensors and satellites as well as a new user mentality of utilizing this technology to voluntarily share information produce a huge flood of geo-spatial data. This data is enriched by multiple additional sources or contexts such as social information, text, multimedia data and scientific measurements, called enriched geo-spatial data. This data flood provides a tremendous potential of discovering new and possibly useful knowledge. The novel research challenge is to search and mine this wealth of multi-enriched geo-spatial data. The focus of this workshop is to analyze what has been achieved so far and how to further exploit the enormous potential of this data flood. The ultimate goal of this workshop is to develop a general framework of methods for searching and mining enriched geo-spatial data in order to fuel an advanced analysis of big data applications beyond the current research frontiers.
The aim of this workshop is to provide a unique forum for discussing in depth the challenges, opportunities, novel techniques and applications on modeling, managing, searching and mining rich geo‐spatial data, in order to fuel scientific research on big spatial data applications beyond the current research frontiers. The workshop is intended to bring together researchers from different fields of databases, data‐science and geo‐science that deal with the management of spatial and spatio‐temporal data, social network data, textual data, multimedia data, semantic data and ontologies, uncertain data and other common types of geo-referenced data. In particular, submissions covering topics from the following non‐exclusive list in the context of enriched geo‐spatial data are encouraged: The topics of interest are related to semantically enriched geo data, such as spatio-textual, spatio-temporal, spatio-social, geo- social network, mobile and wireless data and uncertain data are not limited to:
- Data models and representation
- Uncertainty and user-generated geospatial content
- Quality control and assurance
- Geospatial data fusion techniques
- Privacy and confidentiality
- Synthesis of multi-source data
- Analysis of multi-source data
- Data management
- Data stream management and mobile computing
- Spatial reasoning and analysis
- Data extraction techniques including NLP
- Computing/algorithms and geospatial uncertainty
- Crowdsourcing computing resources
- Non-traditional visualization techniques
- Temporal enriched geo data
- Data-mining on enriched geo data