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Article type: Research Article
Authors: Hotho, Andreas; ; | Stumme, Gerd;
Affiliations: Knowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany. http://www.kde.cs.uni-kassel.de/ | Data Mining and Information Retrieval Group, Department of Mathematics and Computer Science, University of Wuerzburg, Am Hubland 97074 Wuerzburg, Germany. http://www.is.informatik.uni-wuerzburg.de/ | Research Center L3S, Appelstr. 9a, 30167 Hannover, Germany. http://www.l3s.de/
Note: [] Corresponding author. E-mail: [email protected].
Abstract: Today, we observe the amalgamation of the Social Web and the Mobile Web, which will ultimately lead to a Ubiquitous Web. The integration and aggregation of the different kinds of available data, and the extraction of useful knowledge and its representation has become an important challenge for researchers from the Semantic Web, Web 2.0, social network analysis and machine learning communities. We discuss the Ubiquitous Web vision, by addressing the challenge of bridging the gap between Web 2.0 and the Semantic Web, before widening the scope to mobile applications.
Keywords: Ubiquitous Web, Semantic Web, Web 2.0, data mining, machine learning, social network analysis
DOI: 10.3233/SW-2010-0024
Journal: Semantic Web, vol. 1, no. 1-2, pp. 117-119, 2010
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