Proceedings Papers
Modeling Hydrates and the Gas Hydrate Markup Language
Authors:
Weihua Wang ,
Scientific Database Center, Computer Network Information Center, CAS.
George Moridis,
Lawrence Berkeley National Laboratory, University of California, USA.
Runqiang Wang,
Scientific Database Center, Computer Network Information Center, CAS.
Yun Xiao,
Scientific Database Center, Computer Network Information Center, CAS.
Jianhui Li
Scientific Database Center, Computer Network Information Center, CAS.
Abstract
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.
How to Cite:
Wang, W. et al., (2007). Modeling Hydrates and the Gas Hydrate Markup Language. Data Science Journal. 6, pp.GH25–GH36. DOI: http://doi.org/10.2481/dsj.6.GH25
Published on 29 Jun 2007.
Peer Reviewed
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