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@ARTICLE{Devaraju:172302,
author = {Devaraju, Anusuriya and Kuhn, Werner and Renschler, Chris
S.},
title = {{A} formal model to infer geographic events from sensor
observations},
journal = {International journal of geographical information science},
volume = {29},
number = {1},
issn = {1362-3087},
address = {London},
publisher = {Taylor $\&$ Francis},
reportid = {FZJ-2014-05785},
pages = {1 - 27},
year = {2014},
abstract = {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.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {TERENO - Terrestrial Environmental Observatories
(TERENO-2008) / 246 - Modelling and Monitoring Terrestrial
Systems: Methods and Technologies (POF2-246) / 255 -
Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)TERENO-2008 / G:(DE-HGF)POF2-246 /
G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000350367900001},
doi = {10.1080/13658816.2014.933480},
url = {https://juser.fz-juelich.de/record/172302},
}