Why Did You Go There? Semantic Knowledge Extraction from Trajectory Traces

Exploring human mobility dynamics is a challenging semantic data analysis task as conventional information retrieval techniques fail to detect "why people travel". We propose a mobility analytics framework to discover such trip-purposes from individual’s GPS traces using a mobility knowledge graph (MKG) and a deep-learning architecture that automatically annotates the GPS log. Further, a novel transfer learning technique is proposed to analyze the movement dynamics in another geographically dispersed region with the help of the knowledge gained from a region of similar type (say, academic campus).