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Big Data is a new emerging field as well as a big challenge. A vast amount of data is generated and stored daily and only 20% of data is structured. It is difficult to analyze and work on unstructured data. Geospatial data has already exceeded the storage capacity and is now considered as a big data problem. Visualizing data makes things a bit easier as data visualization helps in finding patterns...
With the development of Internet GIS also known as Web-GIS, there has been an increase in the development of various information systems dealing with geospatial data. Open source softwares being cost effective, reliable and flexible is becoming a preferred technology by researchers and academicians. Presently the integration of geospatial data scattered around various organization which refers to...
A key issue in eScience concerns the management of data used, transformed and produced by experiments. Such data are highly heterogeneous and require a wide range of mechanisms to support their creation, documentation, mining, management and visualization. This paper tackles one of these mechanisms: annotation of scientific data. It discusses specific aspects of a framework that helps scientific research...
The Geospatial data has been used extensively in many scientific areas but a lot of issues arise for sharing and processing such large amount of data. The geospatial data is exposed most of the time using geospatial Web services, standardized by the Open Geospatial Consortium (OGC). In this paper we discuss solutions and approaches, based on the integration of OGC Web services into the Grid environment,...
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