Graph Data on the Web: extend the pivot, don't reinvent the wheel

arXiv: Databases, 2019.

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Abstract:

This article is a collective position paper from the Wimmics research team, expressing our vision of how Web graph data technologies should evolve in the future in order to ensure a high-level of interoperability between the many types of applications that produce and consume graph data. Wimmics stands for Web-Instrumented Man-Machine Int...More

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