Abstract
Oceanography is a comprehensive, interdisciplinary, cooperative global ocean science. Evolution of marine investigation technologies brings various and massive marine data, so its format, syntax and semantic are varied. Such heterogeneity is an obstacle to knowledge integration, transmission and sharing. A framework of E-oceanography is proposed for dealing with marine information with the background of big data era. Within this framework, semantic mediation system is developed for data interoperation in marine community. The greatest benefit of the semantic management system is to allow a growing number of marine knowledge to be accessed without semantic obstacle and interdisciplinary constrain.
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Acknowledgments
This work is supported by the National Nature Science Foundation of China (Grant No. 61672475), Chunhui Research Grant from the Ministry of National Education (Grant No. Z2016102) and the 12th Five-Year Plan of investigation and development for International marine resource - Construction of China Ocean Sample Repository and marine sample management (under grant number DY125-25-01).
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Hong, T., Wang, X., Xu, J., Yan, S., Hou, C. (2017). Marine Geochemical Information Management Strategies and Semantic Mediation. In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_25
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DOI: https://doi.org/10.1007/978-3-319-62698-7_25
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