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.
Keywords:
Mashup, Linked Data, Big Data, Semantic Web
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-642-55032-4
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_236091.pdf
Created from the Publication Database of the Vienna University of Technology.