Abstract
Establishing equivalence links between (semantic) resources, as it is the case in the Linked Data approach, implies permanent search, analysis and alignment of new (semantic) data in a rapidly changing environment. Moreover the distributed management of data brings not negligible requirements as regards their authorship, update, versioning and replica management. Instead of providing solutions for the above issues at the application level, our approach relies on the adoption of a common layered infrastructure: InterDataNet (IDN). The core of the IDN architecture is the Naming System aimed at providing a scalable and open service to support consistent reuse of entities and their identifiers, enabling a global reference and addressing mechanism for convenient retrieval of resources. The IDN architecture also provides basic collaboration-oriented functions for (semantic) data, featuring authorship control, versioning and replica management through its stack layers.
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Chini, D., Pirri, F., Pettenati, M.C., Innocenti, S., Ciofi, L. (2010). InterDataNet Naming System: A Scalable Architecture for Managing URIs of Heterogeneous and Distributed Data with Rich Semantics . In: Zseby, T., Savola, R., Pistore, M. (eds) Future Internet - FIS 2009. FIS 2009. Lecture Notes in Computer Science, vol 6152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14956-6_4
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DOI: https://doi.org/10.1007/978-3-642-14956-6_4
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