Centre dedocumentation
scientifique

GNSS metadata and data validation in the EUREF Permanent Network / Carine Bruyninx in GPS solutions, vol 23 n° 4 (October 2019)  

Public [article]  inGPS solutions > vol 23 n° 4 (October 2019) Titre : GNSS metadata and data validation in the EUREF Permanent Network Type de document : Article/Communication Auteurs : Carine Bruyninx, Auteur ; Juliette Legrand, Auteur ; András Fabian, Auteur ; Eric Pottiaux, Auteur Année de publication : 2019 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] qualité des metadonnées [Termes descripteurs IGN] récepteur GNSS [Termes descripteurs IGN] réseau permanent EUREF [Termes descripteurs IGN] station GNSS [Termes descripteurs IGN] validation des données Résumé : (Auteur) The EUREF Permanent Network (EPN) is a network of continuously operating GNSS stations installed throughout the European continent. The EPN Central Bureau (CB) performs the day-to-day EPN coordination, acts as liaison between station operators, data centers, and analysis centers, and maintains the EPN Information System. Over the last years, the EPN CB has accommodated the enhancements required by the new EU General Data Protection Regulation, new multi-GNSS signals, new RINEX formats, increased usage of real-time GNSS data, and the new GeodesyML metadata exchange format. We will discuss how the EPN CB validates and provides access to EPN station metadata and monitors EPN data sets in terms of availability, latency, and quality to ensure they meet the user requirements. The analysis of 23 years of EPN GNSS data quality checks demonstrates some of the most frequently encountered tracking problems affecting EPN stations, and specific GNSS receiver types, throughout the years. Numéro de notice : A2019-332 Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10291-019-0880-9 date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1007/s10291-019-0880-9 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93420 [article]

A method for checking the quality of geographic metadata based on ISO 19157 / Manuel A. Ureña-Cámara in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 1 - 27 Titre : A method for checking the quality of geographic metadata based on ISO 19157 Type de document : Article/Communication Auteurs : Manuel A. Ureña-Cámara, Auteur ; Javier Nogueras-Iso, Auteur ; Javier Lacasta, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2019 Article en page(s) : pp 1 - 27 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] contrôle qualité automatique [Termes descripteurs IGN] hétérogénéité sémantique [Termes descripteurs IGN] interopérabilité [Termes descripteurs IGN] Java (langage de programmation) [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] norme ISO [Termes descripteurs IGN] qualité des metadonnées [Termes descripteurs IGN] XML Résumé : (auteur) With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata. Numéro de notice : A2019-018 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1515437 date de publication en ligne : 17/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1515437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91675 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2019011	SL	Livre	Centre de documentation	Revues en salle	Disponible

A novel computational knowledge-base framework for visualization and quantification of geospatial metadata in spatial data infrastructures / Gangothri Rajaram in Geoinformatica [en ligne], vol 22 n° 2 (April 2018)  

Public [article]  inGeoinformatica [en ligne] > vol 22 n° 2 (April 2018) . - pp 269 - 305 Titre : A novel computational knowledge-base framework for visualization and quantification of geospatial metadata in spatial data infrastructures Type de document : Article/Communication Auteurs : Gangothri Rajaram, Auteur ; Harish Chandra Karnatak, Auteur ; Swaminathan Venkatraman, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 269 - 305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] cadre conceptuel [Termes descripteurs IGN] métadonnées [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] pondération [Termes descripteurs IGN] qualité des metadonnées [Termes descripteurs IGN] service web Résumé : (Auteur) Advances in Metadata research have been instrumental in predictions and `fitness-of-use evaluation' for the effective Decision-making process. For the past two decades, the model has been developed to provide visual assistance for assessing the quality information in metadata and quantifying the degree of metadata population. Still, there is a need to develop a framework that can be generic to adopt all the standards available for Geospatial Metadata. The computational analysis of metadata for specific applications remains uncharted for investigations and studies. This work proposes a computational framework for Geospatial Metadata by integrating TopicMaps and Hypergraphs (HXTM) based on the elements and their dependency relationships. A purpose-built dataset extracted from schemas of various standardisation organisations and existing knowledge in the discipline is utilised to model the framework and thereby evaluate ranking strategies. Hypergraph-Helly Property based Weight-Assignment Algorithm (HHWA) have been proposed for HXTM framework to calculate Stable weights for Metadata Elements. Recursive use of Helly-property ensures predominant elements, while Rank Order Centroid (ROC) method is used to compute standard weights. A real corpus using case studies from FGDC's Standard for Geospatial Metadata, INSPIRE Metadata Standards, and ISRO Metadata Content Standard (NSDI 2.0) is used to validate the proposed framework. The observations show that the Information Gain (Entropy) of the proposed model along with the algorithm proves to be computationally smart for quantification purposes and visualises the strength of Metadata Elements for all applications. A prototype tool, `MetDEVViz- MetaData Editor, Validator &Visualization' is designed to exploit the benefits of the proposed algorithm for the case studies that acts as a web service to provide a user interface for editing, validating and visualizing metadata elements. Numéro de notice : A2018-365 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-018-0317-6 date de publication en ligne : 28/02/2018 En ligne : https://doi.org/10.1007/s10707-018-0317-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90730 [article]

Similarity measurement of metadata of geospatial data : an artificial neural network approach / Zugang Chen in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 3 (March 2018) Titre : Similarity measurement of metadata of geospatial data : an artificial neural network approach Type de document : Article/Communication Auteurs : Zugang Chen, Auteur ; Jia Song, Auteur ; Yaping Yang, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] métadonnées [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] réseau neuronal artificiel [Termes descripteurs IGN] similitude Résumé : (Auteur) To help users discover the most relevant spatial datasets in the ever-growing global spatial data infrastructures (SDIs), a number of similarity measures of geospatial data based on metadata have been proposed. Researchers have assessed the similarity of geospatial data according to one or more characteristics of the geospatial data. They created different similarity algorithms for each of the selected characteristics and then combined these elementary similarities to the overall similarity of the geospatial data. The existing combination methods are mainly linear and may not be the most accurate. This paper reports our experiences in attempting to learn the optimal non-linear similarity integration functions, from the knowledge of experts, using an artificial neural network. First, a multiple-layer feed forward neural network (MLFFN) was created. Then, the intrinsic characteristics were used to represent the metadata of geospatial data and the similarity algorithms for each of the intrinsic characteristics were built. The training and evaluation data of MLFFN were derived from the knowledge of domain experts. Finally, the MLFFN was trained, evaluated, and compared with traditional linear combination methods, which was mainly a weighted sum. The results show that our method outperformed the existing methods in terms of precision. Moreover, we found that the combination of elementary similarities of experts to the overall similarity of geospatial data was not linear. Numéro de notice : A2018-094 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030090 En ligne : https://doi.org/10.3390/ijgi7030090 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89506 [article]

Aggregation-based information retrieval system for geospatial data catalogs / Javier Lacasta in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1583 - 1605 Titre : Aggregation-based information retrieval system for geospatial data catalogs Type de document : Article/Communication Auteurs : Javier Lacasta, Auteur ; Javier Lopez-Pellicer, Auteur ; Borja Espejo-García, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1583 - 1605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes descripteurs IGN] accès aux données [Termes descripteurs IGN] catalogue de données localisées [Termes descripteurs IGN] Espagne [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] infrastructure régionale de données localisées [Termes descripteurs IGN] métadonnées [Termes descripteurs IGN] métadonnées géographiques [Termes descripteurs IGN] recherche d'information géographique [Termes descripteurs IGN] requête (informatique) [Termes descripteurs IGN] service web géographique Résumé : (Auteur) Geospatial data catalogs enable users to discover and access geographical information. Prevailing solutions are document oriented and fragment the spatial continuum of the geospatial data into independent and disconnected resources described through metadata. Due to this, the complete answer for a query may be scattered across multiple resources, making its discovery and access more difficult. This paper proposes an improved information retrieval process for geospatial data catalogs that aggregates the search results by identifying the implicit spatial/thematic relations between the metadata records of the resources. These aggregations are constructed in such a way that they match better the user query than each resource individually. Numéro de notice : A2017-313 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1319949 En ligne : http://dx.doi.org/10.1080/13658816.2017.1319949 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85367 [article]

Réservation

Réserver ce document

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2017041	RAB	Revue	Centre de documentation	En réserve 3L	Disponible
079-2017042	RAB	Revue	Centre de documentation	Revues en salle	Disponible

Automatic spatial metadata systems – the case of Australian urban research infrastructure network / Moshen Kalantari in Cartography and Geographic Information Science, Vol 44 n° 4 (July 2017)  

Permalink

Spatial discovery and the research library / Sara Lafia in Transactions in GIS, vol 20 n° 3 (June 2016)  

Permalink

Modélisation des bases de données d’observation et conception de l’observatoire virtuel pour la gestion de l’interopérabilité / Romain Martin (2016) 

Permalink

INSPIRE bute sur les transformations de données / Françoise de Blomac in DécryptaGéo le mag, n° 172 (décembre 2015)

Permalink

An integrated heterogeneous web service retrieval via combination of instance- and metadata-based schema matching method / Jie He in Geo-spatial Information Science, vol 18 n° 2 (August 2015)  

Permalink

Geographical data sets fitness of use evaluation / Elzbieta Bielecka in Geodetski vestnik, vol 59 n° 2 (June - August 2015)  

Permalink

Metadata topic harmonization and semantic search for linked-data-driven geoportals: A case study using ArcGIS online / Yingjie Hu in Transactions in GIS, vol 19 n° 3 (June 2015)  

Permalink

L'information géographique / Bengt Rystedt in Cartes & Géomatique, n° 221 (septembre 2014)

Permalink

El patrimonio cartográfico en las infraestructuras de datos espaciales / Marta Criado in Topografia y cartografia, vol 28 n° 165 (2013) 

Permalink

Vers une gouvernance de l'information géographique / Mathieu Becker in Géomatique expert, n° 85 (01/03/2012)

Permalink