Expanding the Citation Graph for Data Citations

Peter Buneman*, Dennis Dosso*, Matteo Lissandrini*, Gianmaria Silvello*

*Kontaktforfatter

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Abstract

The Citation Graph (CG) is a computational artifact widely used to represent the domain of published literature. There is an increasing demand to treat the publication of data in the same way that we treat conventional publications. It should be possible to cite data for the same reasons that is is necessary to cite other publications. In this paper we see some of the limitations of the citation graph, and we discuss how some implementation-agnostic extensions may solve them, thus also allowing the introduction of data and the management of data citations within the CG.

OriginalsprogEngelsk
TidsskriftCEUR Workshop Proceedings
Vol/bind3194
Sider (fra-til)276-283
Antal sider8
ISSN1613-0073
StatusUdgivet - 2022
Begivenhed30th Italian Symposium on Advanced Database Systems, SEBD 2022 - Tirrenia, Italien
Varighed: 19 jun. 202220 jun. 2022

Konference

Konference30th Italian Symposium on Advanced Database Systems, SEBD 2022
Land/OmrådeItalien
ByTirrenia
Periode19/06/202220/06/2022

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