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Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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057-2014041 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements


Large-scale geo-tagged video indexing and queries / He Ma in Geoinformatica, vol 18 n° 4 (October 2014)
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[article]
Titre : Large-scale geo-tagged video indexing and queries Type de document : Article/Communication Auteurs : He Ma, Auteur ; Sakire Arslan Ay, Auteur ; Roger Zimmermann, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 671-697 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] angle de visée
[Termes IGN] distance
[Termes IGN] données localisées des bénévoles
[Termes IGN] données massives
[Termes IGN] requête spatiale
[Termes IGN] vidéo numériqueRésumé : (Auteur) With the wide spread of smartphones, a large number of user-generated videos are produced everyday. The embedded sensors, e.g., GPS and the digital compass, make it possible that videos are accessed based on their geo-properties. In our previous work, we have created a framework for integrated, sensor-rich video acquisition (with one instantiation implemented in the form of smartphone applications) which associates a continuous stream of location and viewing direction information with the collected videos, hence allowing them to be expressed and manipulated as spatio-temporal objects. These sensor meta-data are considerably smaller in size compared to the visual content and are helpful in effectively and efficiently searching for geo-tagged videos in large-scale repositories. In this study, we propose a novel three-level grid-based index structure and introduce a number of related query types, including typical spatial queries and ones based on bounded radius and viewing direction restriction. These two criteria are important in many video applications and we demonstrate the importance with a real-world dataset. Moreover, experimental results on a large-scale synthetic dataset show that our approach can provide a significant speed improvements of at least 30 %, considering a mix of queries, compared to a multi-dimensional R-tree implementation. Numéro de notice : A2014-459 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1007/s10707-013-0199-6 Date de publication en ligne : 28/12/2013 En ligne : http://dx.doi.org/10.1007/s10707-013-0199-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74031
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 671-697[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible
[article]
Titre : Group spatiotemporal pattern queries Type de document : Article/Communication Auteurs : M. Sakr, Auteur ; Ralf Hartmut Güting, Auteur Année de publication : 2014 Article en page(s) : pp 699-746 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] base de données orientée objet
[Termes IGN] comportement
[Termes IGN] objet mobile
[Termes IGN] requête spatiotemporelleRésumé : (Auteur) Group spatiotemporal patterns are certain formations, in space and time, shown by groups of moving objects, such as flocks, concurrence, encounter, etc. A large number of recent applications focus on the collective behavior of moving objects, rather than the individual movements. Therefore finding such groups in moving object databases is crucial. There exist, in the literature, smart algorithms for matching some of these patterns. These solutions, however, address specific patterns and require specialized data representation and indexes. They share too little to be integrated into a single system. There is a need for a generic query method that allows users to fill in pattern descriptions, and retrieve the set of matches. In this paper, we propose generic query operators that can consistently express and match a wide range of group spatiotemporal patterns. We formally define these operators, illustrate the evaluation algorithms, and discuss the issues of their integration with moving object database (MOD) systems. These operators have been implemented in the context of Secondo MOD system, and the implementation is available online as open source. Several examples are given to showcase the expressive power of the operators. We have made available scripts that can be invoked from the Secondo interface to automatically repeat some of the experiments in this paper. Numéro de notice : A2014-460 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0198-7 Date de publication en ligne : 19/01/2014 En ligne : https://doi.org/10.1007/s10707-013-0198-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74032
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 699-746[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible An evaluative baseline for geo-semantic relatedness and similarity / Andrea Ballatore in Geoinformatica, vol 18 n° 4 (October 2014)
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Titre : An evaluative baseline for geo-semantic relatedness and similarity Type de document : Article/Communication Auteurs : Andrea Ballatore, Auteur ; Michela Bertolotto, Auteur ; D. Wilson, Auteur Année de publication : 2014 Article en page(s) : pp 747-767 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] intégration de données
[Termes IGN] relation sémantique
[Termes IGN] requête (informatique)
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geo-semantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this article, we discuss a notion of geo-semantic relatedness based on Lehrer’s semantic fields, and we compare it with geo-semantic similarity. We then describe and validate the Geo Relatedness and Similarity Dataset (GeReSiD), a new open dataset designed to evaluate computational measures of geo-semantic relatedness and similarity. This dataset is larger than existing datasets of this kind, and includes 97 geographic terms combined into 50 term pairs rated by 203 human subjects. GeReSiD is available online and can be used as an evaluation baseline to determine empirically to what degree a given computational model approximates geo-semantic relatedness and similarity. Numéro de notice : A2014-461 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0197-8 Date de publication en ligne : 31/01/2014 En ligne : https://doi.org/10.1007/s10707-013-0197-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74033
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 747-767[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Publishing deep web geographic data / Helena Piccinini in Geoinformatica, vol 18 n° 4 (October 2014)
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Titre : Publishing deep web geographic data Type de document : Article/Communication Auteurs : Helena Piccinini, Auteur ; Marco A. Casanova, Auteur ; Luiz André P.P. Leme, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 769-792 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données localisées
[Termes IGN] langage naturel (informatique)
[Termes IGN] RDF
[Termes IGN] SPARQL
[Termes IGN] web des donnéesRésumé : (Auteur) This article introduces a design process, called W-RayS, to describe Deep Web geographic data and to publish the descriptions both on the Web of Data and on the Surface Web. The article also outlines a toolkit that supports the process and discusses an experiment in which the toolkit was used to publish data stored in a large map server. Briefly, to describe geographic data in vector format, the designer should first specify views over the underlying geographic database that capture the basic characteristics of the geographic objects and their topological relationships represented in the vector data. The same idea is applied to raster data, but using a gazetteer or any other geographic database that covers the same area as the raster data. Then, the designer should map the view definitions to an RDF schema, following the Linked Data principles. The descriptions of the geographic data are therefore formalized as sets of RDF triples synthesized from the conventional data. To publish geographic data descriptions on the Web of Data, the designer may decide to materialize the RDF triples and store them in a repository or create a SPARQL endpoint to access the triples on demand. To publish geographic data descriptions on the Surface Web, W-RayS offers the designer tools to transform the RDF triples to natural language sentences, organized as static Web pages with embedded RDFa. The inclusion of RDFa preserves the structure of the data and allows more specific queries, processed by engines that analyze Web pages with RDFa. Numéro de notice : A2014-462 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0201-3 Date de publication en ligne : 15/02/2014 En ligne : https://doi.org/10.1007/s10707-013-0201-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74034
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 769-792[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Improving geographic information retrieval in spatial data infrastructures / Fabio Gomes,de Andrade in Geoinformatica, vol 18 n° 4 (October 2014)
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Titre : Improving geographic information retrieval in spatial data infrastructures Type de document : Article/Communication Auteurs : Fabio Gomes,de Andrade, Auteur ; Cláudio, de Souza Baptista, Auteur ; Clodoveu Augusto Davis Jr, Auteur Année de publication : 2014 Article en page(s) : pp 793-818 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] accès aux données localisées
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] interopérabilité sémantique
[Termes IGN] ontologie
[Termes IGN] requête spatialeRésumé : (Auteur) In recent years, spatial data infrastructures (SDIs) have gained great popularity as a solution to facilitate interoperable access to geospatial data offered by different agencies. In order to enhance the data retrieval process, current infrastructures usually offer a catalog service. Nevertheless, such catalog services still have important limitations that make it difficult for users to find the geospatial data that they are interested in. Some current catalog drawbacks include the use of a single record to describe all the feature types offered by a service, the lack of formal means to describe the semantics of the underlying data, and the lack of an effective ranking metric to organize the results retrieved from a query. Aiming to overcome these limitations, this article proposes SESDI (Semantically-Enabled Spatial Data Infrastructures), which is framework that reuses techniques of classic information retrieval to improve geographic data retrieval in a SDI. Moreover, the framework proposes several ranking metrics to solve spatial, semantic, temporal and multidimensional queries. Numéro de notice : A2014-463 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0202-x Date de publication en ligne : 19/01/2014 En ligne : https://doi.org/10.1007/s10707-014-0202-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74035
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 793-818[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Location privacy models in mobile applications: conceptual view and research directions / Maria luisa Damiani in Geoinformatica, vol 18 n° 4 (October 2014)
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[article]
Titre : Location privacy models in mobile applications: conceptual view and research directions Type de document : Article/Communication Auteurs : Maria luisa Damiani, Auteur Année de publication : 2014 Article en page(s) : pp 819-842 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] fonctionnalité
[Termes IGN] géopositionnement
[Termes IGN] protection de la vie privée
[Termes IGN] téléphonie mobileRésumé : (Auteur) Location privacy in mobile, location-aware applications is a prominent research topic spanning across different disciplines and with strong societal implications and expectations. The tumultuous growth of the mobile applications market over the past few years has however hindered the development of a systematic organization and classification of location privacy concepts. In this paper we focus on one of the key concepts, i.e. location privacy metric. We survey existing approaches to the measurement of location privacy and propose a classification framework. The notion of location privacy metric, however, cannot be fully understood without describing the context in which these metrics are used. To that extent we elaborate on the notions of application model and privacy model. The ultimate goal is to contribute to the specification of a conceptual framework for location privacy. Numéro de notice : A2014-464 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0205-7 Date de publication en ligne : 13/03/2014 En ligne : https://doi.org/10.1007/s10707-014-0205-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74036
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 819-842[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible