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Auteur W. Van Hage |
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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)
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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
in International journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1543 - 1558[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2010061 RAB Revue Centre de documentation En réserve 3L Disponible 079-2010062 RAB Revue Centre de documentation En réserve 3L Disponible The space package : tight integration between space and semantics / W. Van Hage in Transactions in GIS, vol 14 n° 2 (April 2010)
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Titre : The space package : tight integration between space and semantics Type de document : Article/Communication Auteurs : W. Van Hage, Auteur ; J. Wielemaker, Auteur ; Guus Schreiber, Auteur Année de publication : 2010 Article en page(s) : pp 131 - 146 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] géomatique web
[Termes IGN] interface utilisateur
[Termes IGN] KML
[Termes IGN] logiciel libre
[Termes IGN] PROLOG
[Termes IGN] raisonnement spatial
[Termes IGN] requête spatiale
[Termes IGN] web sémantiqueRésumé : (Auteur) Interpretation of spatial features often requires combined reasoning over geometry and semantics. We introduce the Space package, an open source SWI-Prolog extension that provides spatial indexing capabilities. Together with the existing semantic web reasoning capabilities of SWI-Prolog, this allows efficient integration of spatial and semantic queries and provides an infrastructure for declarative programming with space and semantics. There are few systems that provide indexing and reasoning facilities for both spatial and semantic data. A common solution is to combine separate semantic reasoning and geospatial services. Such loose coupling has the disadvantage that each service cannot make use of the statistics of the other. This makes optimization of such a service-oriented architecture hard. The SWI-Prolog Space and Semantic web packages provide a native Prolog interface to both spatial and semantic indexing and reasoning, which makes it easy to write combined query optimizers. Another advantage of the Space package is that it allows declarative logic programming, which means in practice that you say what you want to compute instead of how to compute it. The actual indexing machinery is encapsulated inside Prolog predicates. In this article we describe the interface of the Space package, compare its functionality to alternative software libraries, and show how to work with it using three example applications. These example illustrations include reasoning over movement patterns, dynamically loading geospatial linked data off the semantic web, and setting up a simple KML server. Numéro de notice : A2010-202 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2010.01187.x Date de publication en ligne : 15/04/2010 En ligne : https://doi.org/10.1111/j.1467-9671.2010.01187.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30396
in Transactions in GIS > vol 14 n° 2 (April 2010) . - pp 131 - 146[article]