A Methodology for Citing Linked Open Data Subsets

• Autores: Gianmaria Silvello
• Localización: D-Lib Magazine, ISSN-e 1082-9873, Vol. 21, Nº. 1-2, 2015
• Idioma: inglés
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• Resumen

  • In this paper we discuss the problem of data citation with a specific focus on Linked Open Data. We outline the main requirements a data citation methodology must fulfill: (i) uniquely identify the cited objects; (ii) provide descriptive metadata; (iii) enable variable granularity citations; and (iv) produce both human- and machine-readable references. We propose a methodology based on named graphs and RDF quad semantics that allows us to create citation meta-graphs respecting the outlined requirements. We also present a compelling use case based on search engines experimental evaluation data and possible applications of the citation methodology.