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Exploiting Linked Data and Knowledge Graphs in Large Organisations

Abstract

So far, we have introduced different approaches to construct, explore, and exploit knowledge graphs in large organizations.

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Authors and Affiliations

  1. IBM Italia, Circonvallazione Idroscalo, 20090, Milan, Italy

    Marco Monti, Fernanda Perego & Yuting Zhao

  2. IBM Italia, via Sciangai 53, 00144, Rome, Italy

    Guido Vetere

  3. Expert System, Prof. Waksman 10, 28036, Madrid, Spain

    Jose Manuel Gomez-Perez, Panos Alexopoulos, Boris Villazon-Terrazas & Nuria Garcia-Santa

  4. University of Aberdeen, King’s College, Aberdeen, AB24 3UE, UK

    Hai Nguyen, Gemma Webster & Jeff Z. Pan

Authors
  1. Marco Monti
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  2. Fernanda Perego
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  3. Yuting Zhao
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  4. Guido Vetere
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  5. Jose Manuel Gomez-Perez
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  6. Panos Alexopoulos
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  7. Hai Nguyen
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  8. Gemma Webster
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  9. Boris Villazon-Terrazas
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  10. Nuria Garcia-Santa
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  11. Jeff Z. Pan
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Corresponding author

Correspondence to Marco Monti .

Editor information

Editors and Affiliations

  1. The University of Aberdeen, Aberdeen, United Kingdom

    Jeff Z. Pan

  2. IBM Italia, Rome, Italy

    Guido Vetere

  3. iSOCO Lab , Madrid, Spain

    Jose Manuel Gomez-Perez

  4. The University of Aberdeen, Aberdeen, United Kingdom

    Honghan Wu

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© 2017 Springer International Publishing Switzerland

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Cite this chapter

Monti, M. et al. (2017). Success Stories. In: Pan, J., Vetere, G., Gomez-Perez, J., Wu, H. (eds) Exploiting Linked Data and Knowledge Graphs in Large Organisations. Springer, Cham. https://doi.org/10.1007/978-3-319-45654-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-45654-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45652-2

  • Online ISBN: 978-3-319-45654-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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