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An integrated approach for visual analysis of a multisource moving objects knowledge base / N. Wllems in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1543 - 1558 Titre : An integrated approach for visual analysis of a multisource moving objects knowledge base Type de document : Article/Communication Auteurs : N. Wllems, Auteur ; W. Robert, Auteur ; W. Van Hage, Auteur ; G. de Vries, Auteur ; J. Janssens, Auteur ; V. Malaisé, Auteur Année de publication : 2010 Article en page(s) : pp 1543 - 1558 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] base de connaissances [Termes IGN] données multisources [Termes IGN] eaux côtières [Termes IGN] fusion de données [Termes IGN] littoral [Termes IGN] navire [Termes IGN] objet mobile [Termes IGN] Pays-Bas [Termes IGN] sécurité maritime [Termes IGN] simulation d'étalonnage [Termes IGN] trafic [Termes IGN] trajet (mobilité) Résumé : (Auteur) We present an integrated and multidisciplinary approach for analyzing the behavior of moving objects. The results originate from an ongoing research of four different partners from the Dutch Poseidon project (Embedded Systems Institute (2007)), which aims to develop new methods for Maritime Safety and Security (MSS) systems to monitor vessel traffic in coastal areas. Our architecture enables an operator to visually test hypotheses about vessels with time-dependent sensor data and on-demand external knowledge. The system includes the following components: abstraction and simulation of trajectory sensor data, fusion of multiple heterogenous data sources, reasoning, and visual analysis of the combined data sources. We start by extracting segments of consistent movement from simulated or real-world trajectory data, which we store as instances of the Simple Event Model (SEM), an event ontology represented in the Resource Description Framework (RDF). Next, we add data from the web about vessels and geography to enrich the sensor data. This additional information is integrated with the representation of the vessels (actors) and places in SEM. The enriched trajectory data are stored in a knowledge base, which can be further annotated by reasoning and is queried by a visual analytics tool to search for spatiotemporal patterns. Although our approach is dedicated to MSS systems, we expect it to be useful in other domains. Numéro de notice : A2010-465 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.515029 En ligne : https://doi.org/10.1080/13658816.2010.515029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30658 [article]

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