A More Decentralized Vision for Linked Data

Axel Polleres, Maulik R. Kamdar, Javier D. Fernandez, Tania Tudorache, Mark A. Musen

Abstract:

In this deliberately provocative position paper, we claim that ten years into Linked Data there are still (too?) many unresolved challenges towards arriving at a truly machine-readable and decentralized Web of data.
We take a deeper look at the biomedical domain---currently, one of the most promising "adopters" of Linked Data---if we believe the ever-present "LOD cloud" diagram. Herein, we try to highlight and exemplify key technical and non-technical challenges to the success of LOD, and we outline potential solution strategies. We hope that this paper will serve as a discussion basis for a fresh start towards more actionable, truly decentralized Linked Data, and as a call to the community to join forces.

TL;DR: We admit the present paper is a bit long for a vision paper; we decided not to shorten it and rather would like it to be understood as a vision paper with a strong survey character.

Submission Category: Vision Statement