Detection of Location Significance from Quality Enhanced Trajectory Data (2012-2014)
Abstract
The proliferation of GPS-enabled mobile devices has contributed to accumulation of large-scale data on trajectories of moving objects, and presented an unprecedented opportunity to discover & share new knowledge, such as location significance. Existing technologies lack the ability to provide meaningful rankings on locations respective to user communities due to lack of consideration for some fundamental characteristics of trajectory data such as uncertainty, lack of semantics and lack of context. This project aims at overcoming the above by building solutions on quality enhanced trajectory data & achieving ranking of physical locations in the geographical space similar to what was achieved by page ranking in cyberspace.
