Modeling Hydrates and the Gas Hydrate Markup Language
Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hydrate research, a great amount of scientific data...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Ubiquity Press
2007-06-01
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Series: | Data Science Journal |
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Online Access: | http://datascience.codata.org/articles/536 |
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author | Weihua Wang George Moridis Runqiang Wang Yun Xiao Jianhui Li |
author_facet | Weihua Wang George Moridis Runqiang Wang Yun Xiao Jianhui Li |
author_sort | Weihua Wang |
collection | DOAJ |
description | Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hydrate research, a great amount of scientific data on gas hydrates has been accumulated. Therefore the means to manage, share, and exchange these data have become an urgent task. At present, metadata (Markup Language) is recognized as one of the most efficient ways to facilitate data management, storage, integration, exchange, discovery and retrieval. Therefore the CODATA Gas Hydrate Data Task Group proposed and specified Gas Hydrate Markup Language (GHML) as an extensible conceptual metadata model to characterize the features of data on gas hydrate. This article introduces the details of modeling portion of GHML. |
first_indexed | 2024-12-11T17:52:51Z |
format | Article |
id | doaj.art-a918164c73c8422194a93c8e6b6a530e |
institution | Directory Open Access Journal |
issn | 1683-1470 |
language | English |
last_indexed | 2024-12-11T17:52:51Z |
publishDate | 2007-06-01 |
publisher | Ubiquity Press |
record_format | Article |
series | Data Science Journal |
spelling | doaj.art-a918164c73c8422194a93c8e6b6a530e2022-12-22T00:56:09ZengUbiquity PressData Science Journal1683-14702007-06-01610.2481/dsj.6.GH25538Modeling Hydrates and the Gas Hydrate Markup LanguageWeihua Wang0George Moridis1Runqiang Wang2Yun Xiao3Jianhui Li4Scientific Database Center, Computer Network Information Center, CAS.Lawrence Berkeley National Laboratory, University of California, USA.Scientific Database Center, Computer Network Information Center, CAS.Scientific Database Center, Computer Network Information Center, CAS.Scientific Database Center, Computer Network Information Center, CAS.Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hydrate research, a great amount of scientific data on gas hydrates has been accumulated. Therefore the means to manage, share, and exchange these data have become an urgent task. At present, metadata (Markup Language) is recognized as one of the most efficient ways to facilitate data management, storage, integration, exchange, discovery and retrieval. Therefore the CODATA Gas Hydrate Data Task Group proposed and specified Gas Hydrate Markup Language (GHML) as an extensible conceptual metadata model to characterize the features of data on gas hydrate. This article introduces the details of modeling portion of GHML.http://datascience.codata.org/articles/536GHMLModelGas hydrateMetadata |
spellingShingle | Weihua Wang George Moridis Runqiang Wang Yun Xiao Jianhui Li Modeling Hydrates and the Gas Hydrate Markup Language Data Science Journal GHML Model Gas hydrate Metadata |
title | Modeling Hydrates and the Gas Hydrate Markup Language |
title_full | Modeling Hydrates and the Gas Hydrate Markup Language |
title_fullStr | Modeling Hydrates and the Gas Hydrate Markup Language |
title_full_unstemmed | Modeling Hydrates and the Gas Hydrate Markup Language |
title_short | Modeling Hydrates and the Gas Hydrate Markup Language |
title_sort | modeling hydrates and the gas hydrate markup language |
topic | GHML Model Gas hydrate Metadata |
url | http://datascience.codata.org/articles/536 |
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