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000172302 1001_ $$0P:(DE-Juel1)156413$$aDevaraju, Anusuriya$$b0$$eCorresponding Author$$ufzj
000172302 245__ $$aA formal model to infer geographic events from sensor observations
000172302 260__ $$aLondon$$bTaylor & Francis$$c2014
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000172302 520__ $$aThe 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.
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000172302 7001_ $$0P:(DE-HGF)0$$aKuhn, Werner$$b1
000172302 7001_ $$0P:(DE-HGF)0$$aRenschler, Chris S.$$b2
000172302 773__ $$0PERI:(DE-600)1491393-8$$a10.1080/13658816.2014.933480$$gp. 1 - 27$$n1$$p1 - 27$$tInternational journal of geographical information science$$v29$$x1362-3087$$y2014
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