Towards Semantic Mashup Tools for Big Data Analysis

A. Anjomshoaa,A. Tjoa, H. Hendrik:
"Towards Semantic Mashup Tools for Big Data Analysis";
Vortrag: ICT EurAsia 2014, Bali, Indonesien; 14.04.2014 - 17.04.2014; in:"Information and Communication Technology - ICT EurAsia 2014", E. Neuhold, A. Tjoa, I. You et al. (Hrg.); Springer LNCS 8407, Heidelberg (2014), ISBN: 978-3-642-55031-7; S. 129 - 138.

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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.