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International Workshop on Semantic, Analytics, Visualisation

International Workshop on Semantic, Analytics, Visualisation

SAVE-SD 2017, SAVE-SD 2018: Semantics, Analytics, Visualization pp 49–60Cite as

Extending ScholarlyData with Research Impact Indicators

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10959))

Abstract

ScholarlyData is the reference linked dataset of the Semantic Web community about papers, people, organisations, and events related to its academic conferences. In this paper we present an extension of such a linked dataset and its associated ontology (i.e. the conference ontology) in order to represent research impact indicators. The latter includes both traditional (e.g. citation count) and alternative indicators (e.g. altmetrics).

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Notes

  1. 1.

    http://scopus.com/.

  2. 2.

    https://plumanalytics.com/.

  3. 3.

    http://purl.org/ontology/bibo/.

  4. 4.

    https://w3id.org/spar.

  5. 5.

    https://w3id.org/spar/biro.

  6. 6.

    https://w3id.org/spar/c4o.

  7. 7.

    https://w3id.org/scholarlydata/ontology/conference-ontology.owl.

  8. 8.

    http://www.neon-project.org/nw/.

  9. 9.

    M stands for millions.

  10. 10.

    http://ontologydesignpatterns.org/cp/owl/parameterregion.owl.

  11. 11.

    http://www.ontologydesignpatterns.org/ont/dul/DUL.owl.

  12. 12.

    I-Ont is available at https://w3id.org/scholarlydata/ontology/indicators-ontology.owl. The alignments are available at https://w3id.org/scholarlydata/ontology/indicators-ontology-aligns.owl.

  13. 13.

    https://www.w3.org/TR/turtle/.

  14. 14.

    https://w3id.org/scholarlydata/dumps/indicators/03-02-2018-indicators.nt.

  15. 15.

    https://w3id.org/scholarlydata/dumps.

  16. 16.

    https://w3id.org/scholarlydata/sparql.

  17. 17.

    https://goo.gl/t88H9c.

  18. 18.

    https://goo.gl/jxSRSx.

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Acknowledgements

This work has been part-funded by the Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR) under grant agreement “Measuring the Impact of Research: Alterative Indicators” (MIRA).

Author information

Authors and Affiliations

  1. STLab, ISTC-CNR, Rome, Italy

    Andrea Giovanni Nuzzolese, Valentina Presutti & Aldo Gangemi

  2. FICLIT, University of Bologna, Bologna, Italy

    Aldo Gangemi

  3. DISI, University of Bologna, Bologna, Italy

    Paolo Ciancarini

Authors
  1. Andrea Giovanni Nuzzolese
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  2. Valentina Presutti
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  3. Aldo Gangemi
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  4. Paolo Ciancarini
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Corresponding author

Correspondence to Andrea Giovanni Nuzzolese .

Editor information

Editors and Affiliations

  1. Oxford e-Research Centre, University of Oxford, Oxford, UK

    Alejandra González-Beltrán

  2. Waltan Hall, KMi, Open University, Milton Keynes, UK

    Francesco Osborne

  3. Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy

    Silvio Peroni

  4. University of Bonn, Bonn, Germany

    Sahar Vahdati

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Nuzzolese, A.G., Presutti, V., Gangemi, A., Ciancarini, P. (2018). Extending ScholarlyData with Research Impact Indicators. In: González-Beltrán, A., Osborne, F., Peroni, S., Vahdati, S. (eds) Semantics, Analytics, Visualization . SAVE-SD SAVE-SD 2017 2018. Lecture Notes in Computer Science(), vol 10959. Springer, Cham. https://doi.org/10.1007/978-3-030-01379-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-01379-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01378-3

  • Online ISBN: 978-3-030-01379-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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