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| Hauptseite > Publikationsdatenbank > A formal model to infer geographic events from sensor observations > print |
| Hauptseite > Publikationsdatenbank > A formal model to infer geographic events from sensor observations > print |
| 001 | 172302 | ||
| 005 | 20210129214415.0 | ||
| 024 | 7 | _ | |a 10.1080/13658816.2014.933480 |2 doi |
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| 024 | 7 | _ | |a 1362-3087 |2 ISSN |
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| 100 | 1 | _ | |a Devaraju, Anusuriya |0 P:(DE-Juel1)156413 |b 0 |e Corresponding Author |u fzj |
| 245 | _ | _ | |a A formal model to infer geographic events from sensor observations |
| 260 | _ | _ | |a London |c 2014 |b Taylor & Francis |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1427450871_8798 |2 PUB:(DE-HGF) |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Renschler, Chris S. |0 P:(DE-HGF)0 |b 2 |
| 773 | _ | _ | |a 10.1080/13658816.2014.933480 |g p. 1 - 27 |0 PERI:(DE-600)1491393-8 |n 1 |p 1 - 27 |t International journal of geographical information science |v 29 |y 2014 |x 1362-3087 |
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