Catalog de date în medii Cloud pentru dezastre naturale
At this moment there is a continuing development of the sources and the amount of geospatial data stored and, in the same time, a growing demand for access to these data. Creating a web platform with a role in managing and aggregating this data, as well as facilitating access to structured informa...
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doaj-ffd1512f54a44cfd94b1c5d7fa7a59912020-11-24T21:21:45ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032019-04-01291193410.33436/v29i1y201902Catalog de date în medii Cloud pentru dezastre naturaleMarius Cristian CÎRȚÎNĂ0Florin POP1Mădălina Cornelia ZAMFIR2Vladimir FLORIAN3Gabriel NEAGU4Universitatea Politehnica BucureștiUniversitatea Politehnica BucureștiInstitutul Național de Cercetare-Dezvoltare în Informatică – ICI BucureștiInstitutul Național de Cercetare-Dezvoltare în Informatică – ICI BucureștiInstitutul Național de Cercetare-Dezvoltare în Informatică – ICI BucureștiAt this moment there is a continuing development of the sources and the amount of geospatial data stored and, in the same time, a growing demand for access to these data. Creating a web platform with a role in managing and aggregating this data, as well as facilitating access to structured information based on different user-selected criteria, is of major importance. It is necessary to develop information systems for the storage of information, processing and visualization of data related to major disasters and crisis, with the purpose of monitoring and mitigating the effects, as well as development of system recording tools, visualization, processing and reporting of current and historical events. This paper presents a cloud-based information platform to support major disasters and crisis monitoring. The platform is based on a data catalogue and database queries, which can be developed by completing the current data base with up-to-date information, integrating new data sources and correlation with external platforms. The proposed platform architecture, workflow, basic functionalities, deployment details and experimental results are described.https://rria.ici.ro/wp-content/uploads/2019/03/2_articol_Gabriel-Neagu.pdfCloud PlatformData ModelsGeospatial DataModel View Controller |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marius Cristian CÎRȚÎNĂ Florin POP Mădălina Cornelia ZAMFIR Vladimir FLORIAN Gabriel NEAGU |
spellingShingle |
Marius Cristian CÎRȚÎNĂ Florin POP Mădălina Cornelia ZAMFIR Vladimir FLORIAN Gabriel NEAGU Catalog de date în medii Cloud pentru dezastre naturale Revista Română de Informatică și Automatică Cloud Platform Data Models Geospatial Data Model View Controller |
author_facet |
Marius Cristian CÎRȚÎNĂ Florin POP Mădălina Cornelia ZAMFIR Vladimir FLORIAN Gabriel NEAGU |
author_sort |
Marius Cristian CÎRȚÎNĂ |
title |
Catalog de date în medii Cloud pentru dezastre naturale |
title_short |
Catalog de date în medii Cloud pentru dezastre naturale |
title_full |
Catalog de date în medii Cloud pentru dezastre naturale |
title_fullStr |
Catalog de date în medii Cloud pentru dezastre naturale |
title_full_unstemmed |
Catalog de date în medii Cloud pentru dezastre naturale |
title_sort |
catalog de date în medii cloud pentru dezastre naturale |
publisher |
ICI Publishing House |
series |
Revista Română de Informatică și Automatică |
issn |
1220-1758 1841-4303 |
publishDate |
2019-04-01 |
description |
At this moment there is a continuing development of the sources and the amount of geospatial data
stored and, in the same time, a growing demand for access to these data. Creating a web platform with a role
in managing and aggregating this data, as well as facilitating access to structured information based on
different user-selected criteria, is of major importance. It is necessary to develop information systems for the
storage of information, processing and visualization of data related to major disasters and crisis, with the purpose of monitoring and mitigating the effects, as well as development of system recording tools, visualization,
processing and reporting of current and historical events. This paper presents a cloud-based information
platform to support major disasters and crisis monitoring. The platform is based on a data catalogue and database queries, which can be developed by completing the current data base with up-to-date information,
integrating new data sources and correlation with external platforms. The proposed platform architecture,
workflow, basic functionalities, deployment details and experimental results are described. |
topic |
Cloud Platform Data Models Geospatial Data Model View Controller |
url |
https://rria.ici.ro/wp-content/uploads/2019/03/2_articol_Gabriel-Neagu.pdf |
work_keys_str_mv |
AT mariuscristiancirtina catalogdedateinmediicloudpentrudezastrenaturale AT florinpop catalogdedateinmediicloudpentrudezastrenaturale AT madalinacorneliazamfir catalogdedateinmediicloudpentrudezastrenaturale AT vladimirflorian catalogdedateinmediicloudpentrudezastrenaturale AT gabrielneagu catalogdedateinmediicloudpentrudezastrenaturale |
_version_ |
1725998439706132480 |