A More Decentralized Vision for Linked Data

Polleres, Axel ORCID: https://orcid.org/0000-0001-5670-1146 and Kamdar, Maulik R. and Fernandez Garcia, Javier David and Tudorache, Tania and Musen, Mark A. (2018) A More Decentralized Vision for Linked Data. Working Papers on Information Systems, Information Business and Operations, 02/2018. Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business, Vienna. ISSN 2518-6809

[img]
Preview
PDF (Working Papers on Information Systems, Information Business and Operations 02/2018)
IPM_workingpaper_02_2018.pdf
Available under License Creative Commons: Attribution 4.0 International (CC BY 4.0).

Download (7MB)

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.

Item Type: Paper
Keywords: Linked Data; Web of Data; Decentralization; Biomedical Data
Depositing User: Axel Polleres
Date Deposited: 26 Jun 2018 07:47
Last Modified: 24 Oct 2019 13:30
URI: https://epub.wu.ac.at/id/eprint/6371

Actions

View Item View Item

Downloads

Downloads per month over past year

View more statistics