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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Hendrik, Anjomshoaa, A., Tjoa, A.M. (2014). Towards Semantic Mashup Tools for Big Data Analysis. In: Linawati, Mahendra, M.S., Neuhold, E.J., Tjoa, A.M., You, I. (eds) Information and Communication Technology. ICT-EurAsia 2014. Lecture Notes in Computer Science, vol 8407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55032-4_13
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DOI: https://doi.org/10.1007/978-3-642-55032-4_13
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