Near-Real-Time OGC Catalogue Service for Geoscience Big Data
Song, Jia1,2,3; Di, Liping1
Corresponding AuthorDi, Liping(ldi@gmu.edu)
AbstractGeoscience data are typically big data, and they are distributed in various agencies and individuals worldwide. Efficient data sharing and interoperability are important for managing and applying geoscience data. The OGC (Open Geospatial Consortium) Catalogue Service for the Web (CSW) is an open interoperability standard for supporting the discovery of geospatial data. In the past, regular OGC catalogue services have been studied, but few studies have discussed a near-real-time OGC catalogue service for geoscience big data. A near-real-time OGC catalogue service requires frequent updates of a metadata repository in a short time. When dealing with massive amounts of geoscience data, this comprises an extremely challenging issue. Discovering these data via an OGC catalogue service in near real-time is desirable. In this study, we focus on how the near-real-time OGC catalogue service is realized through several lightweight data structures, algorithms, and tools. We propose a framework of a near-real-time OGC catalogue service and discuss each element of the framework to which more attention should be paid when dealing with the massive amounts of real-time data, followed by a review of several methods that need to be considered in a near-real-time OGC CSW service. A case study on providing an OGC catalogue service to Unidata real-time data is presented to demonstrate how specific methods are utilized to deal with real-time data. The goal of this paper is to fill the gap in knowledge regarding an OGC catalogue service for geoscience big data, and it has realistic significance in facilitating a near-real-time OGC catalogue service.
KeywordCSW catalogue service big data Unidata metadata real time
Indexed BySCI
Funding ProjectNational Science Foundation EarthCube program[ICER-1440294]
Funding OrganizationNational Science Foundation EarthCube program
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000416779300018
PublisherMDPI AG
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Document Type期刊论文
Corresponding AuthorDi, Liping
Affiliation1.George Mason Univ, Ctr Spatial Informat Sci & Syst, 4400 Univ Dr,MSN 6E1, Fairfax, VA 22030 USA
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Song, Jia,Di, Liping. Near-Real-Time OGC Catalogue Service for Geoscience Big Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2017,6(11):15.
APA Song, Jia,&Di, Liping.(2017).Near-Real-Time OGC Catalogue Service for Geoscience Big Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,6(11),15.
MLA Song, Jia,et al."Near-Real-Time OGC Catalogue Service for Geoscience Big Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 6.11(2017):15.
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