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Big Web Data: Warehousing and Analytics

Recent Trends and Future Challenges

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Current Trends in Web Engineering (ICWE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10544))

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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.

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References

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  3. Cuzzocrea, A., Saccà, D., Ullman, J.D.: Big data: a research agenda. In: IDEAS 2013, pp. 198–203 (2013)

    Google Scholar 

  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)

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Author information

Authors and Affiliations

  1. University of Trieste and ICAR-CNR, Trieste, Italy

    Alfredo Cuzzocrea

Authors
  1. Alfredo Cuzzocrea
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Correspondence to Alfredo Cuzzocrea .

Editor information

Editors and Affiliations

  1. Universidad de Alicante, Alicante, Spain

    Irene Garrigós

  2. Institute of Software Technology and Interactive Systems, TU Wien, Vienna, Austria

    Manuel Wimmer

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Cuzzocrea, A. (2018). Big Web Data: Warehousing and Analytics. In: Garrigós, I., Wimmer, M. (eds) Current Trends in Web Engineering. ICWE 2017. Lecture Notes in Computer Science(), vol 10544. Springer, Cham. https://doi.org/10.1007/978-3-319-74433-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-74433-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74432-2

  • Online ISBN: 978-3-319-74433-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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