Abstract
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, and propose a simple language to describe RDF documents where separation between data and metainformation is explicitly specified.
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De Nart, D., Degl’Innocenti, D., Peressotti, M., Tasso, C. (2017). Stratifying Semantic Data for Citation and Trust: An Introduction to RDFDF. In: Agosti, M., Bertini, M., Ferilli, S., Marinai, S., Orio, N. (eds) Digital Libraries and Multimedia Archives. IRCDL 2016. Communications in Computer and Information Science, vol 701. Springer, Cham. https://doi.org/10.1007/978-3-319-56300-8_10
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DOI: https://doi.org/10.1007/978-3-319-56300-8_10
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