Tailoring trajectories and their moving patterns to contexts

Abstract

Nowadays heterogeneous mobile data sources are producing an enormous amount of contextual information that can improve our interpretation of discovered mobility patterns. Because both an entity and the data sources can be mobile, what context is and how it can be used to interpret mobility patters may vary anyplace at anytime. This chapter describes an approach for tailoring mobility patterns based on the synergy of trajectory and mobility pattern annotation techniques, where contexts are represented as dynamic semantic views. These views are obtained after the classification of context variables that are selected based on the classification criteria previously proposed for a taxonomy of collective phenomena. An experiment is used to illustrate the proposed approach for tailoring moving flock patterns to contexts of visitors in a recreational area.