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ISPRS Int. J. Geo-Inf. 2017, 6(11), 337; https://doi.org/10.3390/ijgi6110337

Near-Real-Time OGC Catalogue Service for Geoscience Big Data

1,2,3
and
1,*
1
Center for Spatial Information Science and Systems, George Mason University, 4400 University Drive, MSN 6E1 Fairfax, VA 22030, USA
2
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Received: 3 July 2017 / Revised: 26 October 2017 / Accepted: 26 October 2017 / Published: 2 November 2017
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Abstract

Geoscience 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. View Full-Text
Keywords: CSW; catalogue service; big data; Unidata; metadata; real time CSW; catalogue service; big data; Unidata; metadata; real time
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Song, J.; Di, L. Near-Real-Time OGC Catalogue Service for Geoscience Big Data. ISPRS Int. J. Geo-Inf. 2017, 6, 337.

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