Cloud Based Processing Services Based on Linked Data

Cloud computing is providing a computing infrastructure to facilitate storage and processing of massive amounts of information (Big Data). Processing of massive datasets becomes more and more important since the data becoming available to us increase every day in volume, variety, speed of change and (potentially) quality. Processing these data becomes more and more difficult under traditional computing platforms since we need the ability to compute and scale at the same time.Under this context, for this work we describe the design and implementation of a responsive and user driven processing service. This is a geoprocessing service that operates on geospatial datasets and provides geostatistical interpolation (a specific variant called Kriging). This service is based on existing service implementation standards in the geospatial domain (namely WPS standard from OGC). Additionally our service can query and retrieve information that is integrated following the Linked Open Data (LOD) initiative. This is a unique capability that allows the service to rely on data, besides the existing ones and the ones provided by the user, that can be retrieved from the integrated information space that is being built on the web. In this paper we present the design and implementation of the service on a Linked Data store and discuss capabilities, issues and future research.