FYI per interest: D-Lib Magazine, "A Methodology for Citing Linked Open Data Subsets"

Of possible interest to list subscribers:

"A Methodology for Citing Linked Open Data Subsets"
D-Lib Magazine
January/February 2015
Volume 21, Number 1/2
DOI: 10.1045/january2015-silvello

Gianmaria Silvello
University of Padua, Italy
silvello@dei.unipd.it

http://www.dlib.org/dlib/january15/silvello/01silvello.html
http://www.dlib.org/dlib/january15/silvello/01silvello.print.html

Abstract: "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."

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