Geospatial Metadata
Buğra Gedik · Encyclopedia of Database Systems · 2018
Cited by 0
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About 1,981 papers for “Geospatial metadata”
Buğra Gedik · Encyclopedia of Database Systems · 2018
Cited by 0
Dávid Dankó · Springer handbooks · 2022
Cited by 2
SpringerReference · 2011
Cited by 1
Buğra Gedik · Encyclopedia of Database Systems · 2016
Cited by 0
Woolcott, Liz, Jensen, Kristen · Digital Commons - USU (Utah State University) · 2013
Cited by 0
Božidar Glas · Repository of the Faculty of Humanities and Social Sciences Osijek · 2011
U ovome radu govori se o shemama metapodataka koje su važne za geoznanstvenu zajednicu. Rad opisuje segmente koji omogućuju razumijevanje i koncept sheme metapodataka geoprostornih informacija opisujući mapiranje elemenata metapodataka, interoperabilnost i registre metapodataka. U radu je prikazano i značenje geoprostornih informacija te uočene razlike u odnosu na obične informacije. Geoprostorne informacije koriste se u gotovo svim društvenim segmentima od lokalnih i državnih vlasti do privatnog sektora, akademskih institucija, različitih organizacija i sl. U radu se potvrđuje da je velike količine geoprostornih informacija potrebno opisati kvalitetnim i standardiziranim shemama metapodataka kako bi one postale javno kulturno i gospodarsko dobro. Isto tako, pokazano je da sheme metapodataka za opisivanje geoprostornih informacija svojom kompleksnošću prelaze granice svog područja te se njihove mogućnosti koriste i u drugim znanstvenim područjima. Svrha rada u završnici ima za cilj prikazati primjere shema metapodataka za geoprostorne informacije na međunarodnoj i nacionalnoj razini te njihov nastanak, razvoj i primjenu.
Cited by 0Open access
Cristiano Fugazza, Paolo Tagliolato, Alessandro Oggioni et al. · Earth Science Informatics · 2021
Cited by 2
SpringerReference · 2011
Cited by 0
Palmer, David Alexander, Man, Chun Yin · Figshare · 2022
A list of geospatial data in this data collection.
Cited by 0Open access
David A. Palmer, Chun-Yin Man · Figshare · 2022
A list of geospatial data in this data collection.
Cited by 0Open access
Woolcott, Liz, Neatrour, A., McIntyre, S. et al. · Digital Commons - USU (Utah State University) · 2014
Cited by 0Open access
Rob Walker, Les Rackham, Rob Walker · 2010
Cited by 0
Balfanz, D., Göbel, S. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 1999
Within the last few years, more and more metadata information systems (MIS) have been offered in the WWW bnasing, however, upon quite a number of different standarts and formats. This also applies to geodata systems. Therefore, it is often impossible for a user to get comparable information from different MIS. To harmonize the access to different sstems and make more information available, it is necessary to bridge the different metadata standart/models This paper deals with aspects influencing the development of a geospatial metadata infrastructure and metadata information systems/catalogue systems (MIS/CS). Different approaches to solve problems caused by different overlapping metadata standarts are examined. With a focus on the European region and Germany it describes the current situation in the field of geospatial metadata in comparison with the USA and points out the need of connecting existing MIS and metadata bases. Several metadata standarts/models are compared with references to a practical example. Central topics of discussion are determination of a suitable metadata model and method as well as proposals for architectures which are apt to bridge metadata information systems (MIS) following different metadata models.
Cited by 3
Jeremy Kenyon · OSF Preprints (OSF Preprints) · 2017
These are resources related to the workshop on geospatial metadata creation. This was held at the University of Idaho on March 8, 2017.
Cited by 0Open access
Ivanildo Barbosa · Boletim de Ciências Geodésicas · 2013
Nowadays, producers of geospatial data in either raster or vector formats are able to make them available on the World Wide Web by deploying web services that enable users to access and query on those contents even without specific software for geoprocessing. Several providers around the world have deployed instances of WMS (Web Map Service), WFS (Web Feature Service) and WCS (Web Coverage Service), all of them specified by the Open Geospatial Consortium (OGC). In consequence, metadata about the available contents can be retrieved to be compared with similar offline datasets from other sources. This paper presents a brief summary and describes the matching process between the specifications for OGC web services (WMS, WFS and WCS) and the specifications for metadata required by the ISO 19115 - adopted as reference for several national metadata profiles, including the Brazilian one. This process focuses on retrieving metadata about the identification and data quality packages as well as indicates the directions to retrieve metadata related to other packages. Therefore, users are able to assess whether the provided contents fit to their purposes.
Cited by 3Open access
Qi Li, Lingling Guo, Yong Tu et al. · 2004
With the widespread of the concept and implementation of Web Services, more types of data need to be shared. To facilitate the discovering and sharing of geospatial data sets and geospatial Web services, this paper presents an integrated storing architecture for geospatial metadata. With this architecture, metadata for geospatial data and geospatial Web services can be manipulated in a unified way. Also, this architecture provides a practical way to build the Geospatial Portal, which can be further integrated into the digital city to facilitate the discovering and integration of geospatial resources
Cited by 1
Cox, Simon · CSIRO · 2015
Cited by 1Open access
di Lenardo, Isabella, Viaccoz, Cédric, Liu, Jingbang et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025
This dataset contains a pilot corpus of 2,616 digitised postcards retrieved from the Europeana repository and enriched through an AI-based geolocation pipeline developed within the framework of the Time Machine project at EPFL. The pipeline combines multimodal large language models, semantic landmark recognition, and image similarity search to generate geospatial annotations for each postcard, including country, city, and where possible, precise GPS coordinates linked to Wikidata identifiers. Each record is provided as a structured JSON object compliant with the W3C Web Annotation Data Model, and includes the original Europeana metadata alongside the derived geolocation outputs. The dataset is intended to support research in digital cultural heritage, urban history, digital humanities, and AI for geospatial enrichment. The enrichment metadata is released under CC BY 4.0, while original postcard images and metadata retain the licensing conditions specified by Europeana providers.
Cited by 0Open access
di Lenardo, Isabella, Viaccoz, Cédric, Liu, Jingbang et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025
This dataset contains a pilot corpus of 2,616 digitised postcards retrieved from the Europeana repository and enriched through an AI-based geolocation pipeline developed within the framework of the Time Machine project at EPFL. The pipeline combines multimodal large language models, semantic landmark recognition, and image similarity search to generate geospatial annotations for each postcard, including country, city, and where possible, precise GPS coordinates linked to Wikidata identifiers. Each record is provided as a structured JSON object compliant with the W3C Web Annotation Data Model, and includes the original Europeana metadata alongside the derived geolocation outputs. The dataset is intended to support research in digital cultural heritage, urban history, digital humanities, and AI for geospatial enrichment. The enrichment metadata is released under CC BY 4.0, while original postcard images and metadata retain the licensing conditions specified by Europeana providers.
Cited by 0Open access
Peng Yue, Jianya Gong, Liping Di · Computers & Geosciences · 2009
Cited by 60