Advertisement

Big Web Data: Warehousing and Analytics

Recent Trends and Future Challenges
  • Alfredo CuzzocreaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10544)

Abstract

Big Web Data are gaining momentum for a widespread family of applications, ranging from Web advertisement to Web recommendation systems, from Semantic Web to Social Web systems, and so forth. In all these contexts, big data methodologies and paradigms play a leading role. Big Web data warehousing and analytics are two fortunate approaches to this end, as they are effectively able to extract actionable knowledge from massive big Web data repositories. In line with this emerging research trend, this paper explores state-of-the-art big Web data warehousing and analytics proposals, and future challenges in this scientific area.

Keywords

Big data Big web data Big web data warehousing Big web data analytics 

References

  1. 1.
    Wang, L., Tasoulis, S.K., Roos, T., Kangasharju, J.: Kvasir: scalable provision of semantically relevant web content on big data framework. IEEE Trans. Big Data 2(3), 219–233 (2016)CrossRefGoogle Scholar
  2. 2.
    Chen, H.-M., Kazman, R., Haziyev, S.: Agile big data analytics for web-based systems: an architecture-centric approach. IEEE Trans. Big Data 2(3), 234–248 (2016)CrossRefGoogle Scholar
  3. 3.
    Cuzzocrea, A., Saccà, D., Ullman, J.D.: Big data: a research agenda. In: IDEAS 2013, pp. 198–203 (2013)Google Scholar
  4. 4.
    Cuzzocrea, A., Song, I.-Y., Davis, K.C.: Analytics over large-scale multidimensional data: the big data revolution! In: DOLAP 2011, pp. 101–104 (2011)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.University of Trieste and ICAR-CNRTriesteItaly

Personalised recommendations