Talks and Poster Presentations (with Proceedings-Entry):

A. Anjomshoaa, A. Tjoa, H. Hendrik:
"Towards Semantic Mashup Tools for Big Data Analysis";
Talk: ICT EurAsia 2014, Bali, Indonesien; 2014-04-14 - 2014-04-17; in: "Information and Communication Technology - ICT EurAsia 2014", E. Neuhold, A. Tjoa, I. You et al. (ed.); Springer LNCS 8407, Heidelberg (2014), ISBN: 978-3-642-55031-7; 129 - 138.

English abstract:
Big Data is generally characterized by three Vīs: 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.

Mashup, Linked Data, Big Data, Semantic Web

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.