A Hybrid Model and Computing Platform for Spatio-semantic Trajectories

Abstract. Spatio-temporal data management has progressed significantly towards efficient storage and indexing of mobility data. Typically such mobility data analytics is assumed to follow the model of a stream of (x,y,t) points, usually coming from GPS-enabled mobile devices. With large-scale adoption of GPS-driven systems in several application sectors (shipment tracking to geo-social networks), there is a growing demand from applications to understand the spatio-semantic behavior of mobile entities. Spatio-semantic behavior essentially means a semantic (and ly contextual) abstraction of raw spatio-temporal location feeds. The core contribution of this paper lies in presenting a Hybrid Model and a Computing Platform for developing a semantic overlay - analyzing and transforming raw mobility data (GPS) to meaningful semantic abstractions, starting from raw feeds to semantic trajectories. Secondly, we analyze large-scale GPS data using our computing platform and present results of extr...

• Type: Conference
• Year: 2010
• Where: ESWS
• Authors: Zhixian Yan, Christine Parent, Stefano Spaccapietra, Dipanjan Chakraborty
• Keywords: ESWS 2010, Internet Technology, Mobility Data, Semantic, Semantic Abstractions