TY  - JOUR
AU  - Devaraju, Anusuriya
AU  - Kuhn, Werner
AU  - Renschler, Chris S.
TI  - A formal model to infer geographic events from sensor observations
JO  - International journal of geographical information science
VL  - 29
IS  - 1
SN  - 1362-3087
CY  - London
PB  - Taylor & Francis
M1  - FZJ-2014-05785
SP  - 1 - 27
PY  - 2014
AB  - The Sensor Web provides wider access to sensors and their observations via the Web. A key challenge is to infer information about geographic events from these observations. A systematic approach to the representation of domain knowledge is vital when reasoning about events due to heterogeneous observational sources. This article delivers a formal model capturing the relations between observations and events. The model is exploited with a rule-based mechanism to infer information about events from in-situ observations. The article also describes how the model’s vocabularies are used to formulate spatiotemporal queries. A use case for reasoning about blizzard events based on real time series illustrates the formal model.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000350367900001
DO  - DOI:10.1080/13658816.2014.933480
UR  - https://juser.fz-juelich.de/record/172302
ER  -