Nanocitation: Complete and Interoperable Citations of Nanopublications

Erika Fabris*, Tobias Kuhn, Gianmaria Silvello

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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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.

Original languageEnglish
Title of host publicationDigital Libraries: The Era of Big Data and Data Science
Subtitle of host publication16th Italian Research Conference on Digital Libraries, IRCDL 2020, Bari, Italy, January 30–31, 2020, Proceedings
EditorsMichelangelo Ceci, Stefano Ferilli, Antonella Poggi
PublisherSpringer
Pages182-187
Number of pages6
ISBN (Electronic)9783030399054
ISBN (Print)9783030399047
DOIs
Publication statusPublished - 2020
Event16th Italian Research Conference on Digital Libraries, IRCDL 2020 - Bari, Italy
Duration: 30 Jan 202031 Jan 2020

Publication series

NameCommunications in Computer and Information Science
Volume1177 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference16th Italian Research Conference on Digital Libraries, IRCDL 2020
Country/TerritoryItaly
CityBari
Period30/01/2031/01/20

Funding

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.

FundersFunder number
University of Padua
Centers for Disease Control and Prevention
Horizon 2020 Framework Programme825292
European Commission

    Keywords

    • Data citation
    • DisGeNET
    • Nanopublication

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