Graph Data on the Web: extend the pivot, don't reinvent the wheel
arXiv: Databases, 2019.
EI
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
Code:
Data:
Full Text
Tags
Comments