GBD - TAC 2016 - International Workshop on Geospatial Big Data ? Trends, Applications, and Challenges (GBD - TAC)

Large amounts of valuable geospatial (spatial or geographic)1 data for decision-making and strategizing are increasingly generated new emerging sources (e.g., mobile phones and Wireless Sensor Networks). In recent years we have witnessed the emergence of the Geospatial Big Data (GBD) that have the properties volume, velocity and variety as the traditional big data have. Geospatial Big Data has become ubiquitous in modern society, and are currently attracting increasing research and development attention in a wide range of domains. Efforts made so far have resulted in substantial progress in understanding the content and characteristics of this new form of data, developing methods and tools for acquiring and disseminating such information, and understanding their social impact. Despite this progress, Geospatial Big Data still face many challenges, particularly related poor data quality, semantic heterogeneity as data comes from different sources, and data 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.
All accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Sciences is hosted on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-c...). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. All accepted papers will also be indexed in DBLP (http://dblp.uni-trier.de/).
Selected papers may be extended and published in a special issue in? the Information journal (ISSN 2078-2489).?
Target Audience
This workshop 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 workshop below.
Topics
The workshop will include, but not limited to, the following topics related to GBD:
? Geospatial information acquisition and dissemination methods in the context of Big Data
? Hazard management and GBD
? Security issues in acquisition and dissemination of geospatial data
? Privacy issues in GBD
? Trust issues in GBD
? Legal issues in acquisition and dissemination of geospatial data
? Uncertainty in GBD
? Geospatial Data quality issues
? GBD life-cycle and interoperability
? Semantic heterogeneity issues in GBD
? The impacts of GBD in social networks
? The role of social networks in enhancing GBD
? New concepts and theories in GBD
? The relationship between GBD, Volunteered geographic information -VGI, crowdsourcing, , and related concepts
? GBD analytics and processing
? GBD for improved decision-making and Business Intelligence
? The impacts of big data on designing Geographic Information Systems (GIS)
? GBD and hazard management
? GBD and pattern discovery
? Open data
? Unstructured data
? Smart GBD