Journal Article FZJ-2014-05785

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A formal model to infer geographic events from sensor observations

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2014
Taylor & Francis London

International journal of geographical information science 29(1), 1 - 27 () [10.1080/13658816.2014.933480]

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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.

Classification:

Contributing Institute(s):
  1. Agrosphäre (IBG-3)
Research Program(s):
  1. TERENO - Terrestrial Environmental Observatories (TERENO-2008) (TERENO-2008)
  2. 246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246) (POF2-246)
  3. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2014
Database coverage:
Medline ; Current Contents - Social and Behavioral Sciences ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Social Sciences Citation Index ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2014-11-11, last modified 2021-01-29



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