standards-based services for big spatio-temporal data

Clicks: 242
ID: 166747
2016
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Abstract
With the unprecedented availability of continuously updated measured and generated data there is an immense potential for getting new and timely insights – yet, the value is not fully leveraged as of today. The quest is up for high-level service interfaces for dissecting datasets and rejoining them with other datasets – ultimately, to allow users to ask "any question, anytime, on any size" enabling them to "build their own product on the go".

With OGC Coverages, a concrete, interoperable data model has been established which unifies n-D spatio-temporal regular and irregular grids, point clouds, and meshes. The Web Coverage Service (WCS) suite provides versatile streamlined coverage functionality ranging from simple access to flexible spatio-temporal analytics. Flexibility and scalability of the WCS suite has been demonstrated in practice through massive services run by large-scale data centers. We present the current status in OGC Coverage data and service models, contrast them to related work, and describe a scalable implementation based on the rasdaman array engine.
Reference Key
baumann2016thestandards-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;P. Baumann;V. Merticariu;A. Dumitru;D. Misev
Journal functional & integrative genomics
Year 2016
DOI
10.5194/isprs-archives-XLI-B4-691-2016
URL
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/691/2016/isprs-archives-XLI-B4-691-2016.pdf
Keywords
civil engineering (general)applied optics technologyengineering (general) photonics

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