Abstract

Efficiency and appeal of pervasive computing systems strongly de-pends on how well and robustly they represent and reason about context and situations. Populating situation search space and inferring situations from con-text which, in turn, is computed from fusing sensor data and observations re-mains a major research challenge. This paper proposes to use ontologies as rep-resentation of domain knowledge to generate situation search space and then match context with already defined situations. To illustrate the feasibility, a context spaces approach is used to represent, generate and reason about situa-tions as abstractions in a multidimensional space. The proposed approach is evaluated and discussed.

@inproceedings{Boytsov2015,
author = {Andrey Boytsov AND Arkady Zaslavsky AND Elif Eryilmaz AND Sahin Albayrak},
title = {Situation Awareness Meets Ontologies: A Context Spaces Case Study},
booktitle = {Lecture Notes in Computer Science},
year = {2015},
location = {Larnaca, Cyprus},
publisher = {Springer},
}