A software system for the discovery of situations involving drivers in storms
| Autor: | Mauno Rönkkö, Markus Stocker, Janne Saarela, Ville Kotovirta, Mikko Kolehmainen, Okko Kauhanen, Mikko Hiirsalmi, Pekka Rossi, Harri Hytönen |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Focus (computing)
Engineering Knowledge management Knowledge representation and reasoning business.industry knowledge representation Ontology (information science) situation theory Data science law.invention Visualization MMEA law Environmental monitoring environmental knowledge systems Software system ontology User interface Radar business Wavellite |
| Zdroj: | IFIP Advances in Information and Communication Technology ISBN: 9783319159935 ISESS |
| DOI: | 10.1007/978-3-319-15994-2_22 |
| Popis: | We present an environmental software system that obtains, integrates, and reasons over situational knowledge about natural phenomena and human activity. We focus on storms and driver directions. Radar data for rainfall intensity and Google Directions are used to extract situational knowledge about storms and driver locations along directions, respectively. Situational knowledge about the environment and about human activity is integrated in order to infer situations in which drivers are potentially at higher risk. Awareness of such situations is of obvious interest. We present a prototype user interface that supports adding scheduled driver directions and the visualization of situations in space-time, in particular also those in which drivers are potentially at higher risk. We think that the system supports the claim that the concept of situation is useful for the modelling of information about the environment, including human activity, obtained in environmental monitoring systems. Furthermore, the presented work shows that situational knowledge, represented by heterogeneous systems that share the concept of situation, is relatively straightforward to integrate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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