Querying context maps using relative timing predicates in pervasive environments
Vaskar Raychoudhury, Ajay D. Kshemkalyani, Jiannong Cao · 2011
Pervasive computing environments are composed of numerous smart entities (objects and human alike) which are interconnected through contextual links in order to create a Web of physical objects. The contextual links can be based on matching context attribute-values (e.g., co-location) or social connections. We call such a Web of smart physical objects a context map. Context maps can be used for context-aware search and browse of the physical world. This paper shows how to evaluate predicates on the context map, when the predicate is specified using complex timing relations.