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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years pp 391–405Cite as

Data Semantics Meets Knowledge Discovery in Databases

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Part of the book series: Studies in Big Data ((SBD,volume 31))

Abstract

In the last 30 years two important fields were born and have developed rapidly: knowledge discovery and knowledge management based on semantics. In the present chapter we provide an overview of the interlinks between them, taking the perspective of the evolution of systems and platforms supporting knowledge discovery with the help of data semantics.

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Notes

  1. 1.

    https://www.r-project.org/.

  2. 2.

    http://www.cs.waikato.ac.nz/ml/weka/.

  3. 3.

    http://community.rapidminer.com/.

  4. 4.

    https://www.knime.org/.

  5. 5.

    https://cran.r-project.org/.

  6. 6.

    https://www.tensorflow.org/.

  7. 7.

    https://azure.microsoft.com/en-us/services/machine-learning/.

  8. 8.

    See e.g. http://www.kdd.org/kdd2017/Calls/view/kdd-2017-call-for-research-papers, http://ecmlpkdd2017.ijs.si/submission.html, sections on reproducibility.

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Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, via Brecce Bianche, 60131, Ancona, Italy

    Claudia Diamantini, Domenico Potena & Emanuele Storti

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  1. Claudia Diamantini
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  2. Domenico Potena
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  3. Emanuele Storti
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Correspondence to Domenico Potena .

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  1. University of Calabria, Rende, Italy

    Sergio Flesca

  2. University of Calabria, Rende, Italy

    Sergio Greco

  3. ICAR-CNR, Rende, Italy

    Elio Masciari

  4. University of Calabria, Rende, Italy

    Domenico Saccà

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Diamantini, C., Potena, D., Storti, E. (2018). Data Semantics Meets Knowledge Discovery in Databases. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_23

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