Multiple Views of Semantic Trajectories in Indoor and Outdoor Spaces

Abstract

Exploiting semantic information related to human mobility is particularly useful in crowd-sourcing environments where multidimensional data represent human trajectories and contextual information arising in indoor and outdoor spaces. This paper introduces a modelling approach and data manipulation mechanisms that represent semantic trajectories at different levels of abstraction. The objective is to produce a hybrid spatial representation for continuous mobility patterns emerging in indoor and outdoor spaces. This approach is based on a multi-layered graph that represents trajectories derived on the fly according to some given spatio-temporal constraints. The multi-layer graph provides a hierarchy of semantic places that offers several data manipulation capabilities according to given contextual and user-defined criteria.