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Conference Papers Year : 2018

LDP-DL: A Language to Define the Design of Linked Data Platforms

Abstract

Linked Data Platform 1.0 (LDP) is the W3C Recommendation for exposing linked data in a RESTful manner. While several implementations of the LDP standard exist, deploying an LDP from existing data sources still involves much manual development. This is because there is currently no support for automatizing generation of LDP on these implementations. To this end, we propose an approach whose core is a language for specifying how existing data sources should be used to generate LDPs in a way that is independent of and compatible with any LDP implementation and deployable on any of them. We formally describe the syntax and semantics of the language and its implementation. We show that our approach (1) allows the reuse of the same design for multiple deployments, or (2) the same data with different designs, (3) is open to heterogeneous data sources, (4) can cope with hosting constraints and (5) significantly automatizes deployment of LDPs.
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Dates and versions

emse-01838266 , version 1 (13-07-2018)

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Noorani Bakerally, Antoine Zimmermann, Olivier Boissier. LDP-DL: A Language to Define the Design of Linked Data Platforms. European Semantic Web Conference ESWC 2018: The Semantic Web , Jun 2018, Heraklion, Greece. pp.33-49, ⟨10.1007/978-3-319-93417-4_3⟩. ⟨emse-01838266⟩
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