Towards Semantic Mashup Tools for Big Data AnalysisReport as inadecuate




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1 Islamic University of Indonesia 2 Vienna University of Technology Vienna

Abstract : Big Data is generally characterized by three V’s: volume, velocity, and variety. For the Semantic Web community, the variety dimension could be the most appropriate and interesting aspect to contribute in. Since the real-world use of Big Data is for data analytics purposes of knowledge workers in different domains, we can consider mashup approach as an effective tool to create user-generated solution based on available private-public resources. This paper gives brief overview and comparison of some semantic mashup tools which can be employed to mash up various data sources in heterogenous data format.

Keywords : Mashup Linked Data Big Data Semantic Web





Author: Azzakiy Hendrik - Amin Anjomshoaa - A. Tjoa -

Source: https://hal.archives-ouvertes.fr/



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