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Situation awareness meets ontologies: A context spaces case study

conference contribution
posted on 2015-01-01, 00:00 authored by A Boytsov, Arkady ZaslavskyArkady Zaslavsky, E Eryilmaz, S Albayrak
© Springer International Publishing Switzerland 2015. Efficiency and appeal of pervasive computing systems strongly depends on how well and robustly they represent and reason about context and situations. Populating situation search space and inferring situations from context which, in turn, is computed from fusing sensor data and observations remains a major research challenge. This paper proposes to use ontologies as representation 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 situations as abstractions in a multidimensional space. The proposed approach is evaluated and discussed.

History

Volume

9405

Pagination

3 - 17

Publisher

Springer

Location

Lanarca, Cyprus

Place of publication

Cham, Switzerland

Start date

2015-11-02

End date

2015-11-06

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319255903

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Title of proceedings

CONTEXT 2015 : Proceedings of the 9th International and Interdisciplinary Conference

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