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A Geospatial Information Grid Framework for Geological Survey
The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open pro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692525/ https://www.ncbi.nlm.nih.gov/pubmed/26710255 http://dx.doi.org/10.1371/journal.pone.0145312 |
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author | Wu, Liang Xue, Lei Li, Chaoling Lv, Xia Chen, Zhanlong Guo, Mingqiang Xie, Zhong |
author_facet | Wu, Liang Xue, Lei Li, Chaoling Lv, Xia Chen, Zhanlong Guo, Mingqiang Xie, Zhong |
author_sort | Wu, Liang |
collection | PubMed |
description | The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper. |
format | Online Article Text |
id | pubmed-4692525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46925252016-01-12 A Geospatial Information Grid Framework for Geological Survey Wu, Liang Xue, Lei Li, Chaoling Lv, Xia Chen, Zhanlong Guo, Mingqiang Xie, Zhong PLoS One Research Article The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper. Public Library of Science 2015-12-28 /pmc/articles/PMC4692525/ /pubmed/26710255 http://dx.doi.org/10.1371/journal.pone.0145312 Text en © 2015 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wu, Liang Xue, Lei Li, Chaoling Lv, Xia Chen, Zhanlong Guo, Mingqiang Xie, Zhong A Geospatial Information Grid Framework for Geological Survey |
title | A Geospatial Information Grid Framework for Geological Survey |
title_full | A Geospatial Information Grid Framework for Geological Survey |
title_fullStr | A Geospatial Information Grid Framework for Geological Survey |
title_full_unstemmed | A Geospatial Information Grid Framework for Geological Survey |
title_short | A Geospatial Information Grid Framework for Geological Survey |
title_sort | geospatial information grid framework for geological survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692525/ https://www.ncbi.nlm.nih.gov/pubmed/26710255 http://dx.doi.org/10.1371/journal.pone.0145312 |
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