Towards Semantic Mashup Tools for Big Data Analysis

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.
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Azzakiy Hendrik, Amin Anjomshoaa, A. Tjoa. Towards Semantic Mashup Tools for Big Data Analysis. 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia), Apr 2014, Bali, Indonesia. pp.129-138, ⟨10.1007/978-3-642-55032-4_13⟩. ⟨hal-01397164⟩

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