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Sensors Tell More than They Sense: Modeling and Reasoning about Sensor Observations for Understanding Weather Events

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In this paper, we argue that sensors provide a better understanding of geographic events. They produce observations that reflect the natural events taking place at a particular location. The essential part of deriving information about geographic events from sensor observations is to formalize the relations between them. In this spirit, we develop an ontology to capture the relations between weather events and properties observed by sensors. A case study is investigated to illustrate how blizzard events can be formally represented in relation to a set of atmospheric properties observed by a weather station. Using the ontological structures, we define and implement rules to reason about blizzard events from hourly weather observations. We use the historical weather records from the Canadian Climate Archives database to evaluate our approach. The result includes an interactive timeline illustrating the events. The approach is evaluated in terms of reasoning and querying support against a local use.
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Keywords: Cognitive Engineering (DOLCE); Descriptive Ontology for Linguistic; Events; Open Geospatial Consortium (OGC); Semantic Web for Earth and Environmental Terminology (SWEET); observations; ontology; query; rule-based representation and reasoning; sensors; weather

Document Type: Research Article

Publication date: 01 April 2012

More about this publication?
  • The International Journal of Sensors, Wireless Communication and Control publishes timely research articles, reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks.

    The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.

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