10-11 November 2016
American University in Bulgaria
Recent advances on ubiquitous computing technologies are enabling large amounts of geospatial (also spatial or geographic) data to be acquired and processed for decision-making and strategizing purposes in a wide range of applications. Geospatial Big Data was lately adopted to refer to these data, which are characterized by their volume, variety, velocity, value, and veracity.
The last few years have witnessed an increasing research and development efforts addressing this new form of data. So far, these efforts have resulted in a substantial progress in understanding the characteristics of these data, developing methods and tools for their acquisition, storage, processing, and dissemination, as well as understanding their social impact. Despite this progress, Geospatial Big Data still face many challenges, particularly related to data quality, representation, consistency (as data comes from different sources), and security. Assessing the Geospatial Big Data authenticity, validity, and uncertainty, determining the appropriate sources of data, overcoming heterogeneity barriers, and ultimately understanding what motivates individuals and social networks to contribute to Geospatial Big Data efforts are key issues that need to be addressed. To this end, a special focus needs to be given to the envisioned use of data as well as the emergent technologies (e.g., Wireless Sensor Networks, FRID, Internet of Things, etc.) being used for their acquisition.
This special track (geoBD) aims to bring leading researchers and practitioners from a variety of fields and operating on data collection, processing, storage, and visualization to present and promote their latest research and development works and discuss current trends, applications, and challenges related to Geospatial Big Data. We particularly solicit original research contributions, position papers, and surveys addressing the themes of the track below.