@techreport{2c4e88fc40414bc5989e7ad26e84d0af,
title = "A More Decentralized Vision for Linked Data",
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.",
author = "Axel Polleres and Kamdar, {Maulik R.} and {Fernandez Garcia}, {Javier David} and Tania Tudorache and Musen, {Mark A.}",
year = "2018",
month = jun,
day = "25",
doi = "10.57938/2c4e88fc-4041-4bc5-989e-7ad26e84d0af",
language = "English",
series = "Working Papers on Information Systems, Information Business and Operations",
number = "02/2018",
publisher = "Department f{\"u}r Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business",
type = "WorkingPaper",
institution = "Department f{\"u}r Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business",
}