Paper Info
Title
Big Data in Ocean Observation: Opportunities and Challenges.
Abstract
Ocean observation plays an essential role in ocean exploration. Ocean science is entering into big data era with the exponentially growth of information technology and advances in ocean observatories. Ocean observatories are collections of platforms capable of carrying sensors to sample the ocean over appropriate spatio-temporal scales. Data collected by these platforms help answer a range of fundamental and applied research questions. Given the huge volume, diverse types, sustained measurement and potential uses of ocean observing data, it is a typical kind of big data, namely marine big data. The traditional data-centric infrastructure is insufficient to deal with new challenges arising in ocean science. This paper discusses some possible new strategies to solve marine big data challenges in the phases of data storage, data computing and analysis. A geological example illustrates the significant use of marine big data. Finally, we highlight some challenges and key issues in marine big data.
Year
DOI
Venue
2016
10.1007/978-3-319-42553-5_18
Lecture Notes in Computer Science
Keywords
Field
DocType
Big data,Ocean observation,Marine big data,Infrastructure
Data science,Data mining,Information technology,Computer science,Computer data storage,Ocean exploration,Applied research,Ocean science,Big data
Conference
Volume
ISSN
Citations 
9784
0302-9743
0
PageRank 
References 
Authors
0.34
23
4
Name
Order
Citations
PageRank
Yingjian Liu132.82
Meng Qiu200.34
Chao Liu3107.00
Zhongwen Guo429933.99