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Nanocitation: Complete and Interoperable Citations of Nanopublications

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Digital Libraries: The Era of Big Data and Data Science (IRCDL 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1177))

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Abstract

Nanopublication is a data publishing model which has a great potential for the representation of scientific results allowing interoperability, data integration and exchange of scientific findings. But this model suffer of the lack of an appropriate standard methodology to produce complete and interoperable citations providing both data identification and access. In this paper we introduce nanocitation, a framework to automatically get human-readable text-snippet snippet and machine-readable citations of nanopublications.

The full paper was presented at TPDL 2019 [5].

The work was partially funded by the “Computational Data Citation” (CDC) STARS-StG project of the University of Padua. The work was also partially funded by the EXAMODE (contract n. 825292) part of the H2020-ICT-2018-2 call of the European Commission.

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Notes

  1. 1.

    http://npmonitor.inn.ac/ accessed on 09/25/2019.

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Author information

Authors and Affiliations

  1. Department of Information Engineering, University of Padua, Padua, Italy

    Erika Fabris & Gianmaria Silvello

  2. Department of Computer Science, VU University Amsterdam, Amsterdam, The Netherlands

    Tobias Kuhn

Authors
  1. Erika Fabris
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  2. Tobias Kuhn
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  3. Gianmaria Silvello
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Corresponding author

Correspondence to Erika Fabris .

Editor information

Editors and Affiliations

  1. University of Bari, Bari, Italy

    Michelangelo Ceci

  2. University of Bari, Bari, Italy

    Stefano Ferilli

  3. Sapienza University of Rome, Rome, Italy

    Antonella Poggi

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Fabris, E., Kuhn, T., Silvello, G. (2020). Nanocitation: Complete and Interoperable Citations of Nanopublications. In: Ceci, M., Ferilli, S., Poggi, A. (eds) Digital Libraries: The Era of Big Data and Data Science. IRCDL 2020. Communications in Computer and Information Science, vol 1177. Springer, Cham. https://doi.org/10.1007/978-3-030-39905-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-39905-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39904-7

  • Online ISBN: 978-3-030-39905-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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