Well-Stratified Linked Data for Well-Behaved Data Citation

نویسندگان

  • Dario De Nart
  • Dante Degl'Innocenti
  • Marco Peressotti
چکیده

In this paper we analyse the functional requirements of linked data citation and identify a minimal set of operations and primitives needed to realise such task. Citing linked data implies solving a series of data provenance issues and finding a way to identify data subsets. Those two tasks can be handled defining a simple type system inside data and verifying it with a type checker, which is significantly less complex than interpreting reified RDF statements and can be implemented in a non data invasive way. Finally we suggest that data citation should be handled outside of the data, possibly with an ad hoc language.

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عنوان ژورنال:
  • TCDL Bulletin

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2016