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. / Series: Working Papers on Information Systems, Information Business and Operations
Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:6371 |
Date | 25 June 2018 |
Creators | Polleres, Axel, Kamdar, Maulik R., Fernandez Garcia, Javier David, Tudorache, Tania, Musen, Mark A. |
Publisher | Department fĂĽr Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business |
Source Sets | Wirtschaftsuniversität Wien |
Language | English |
Detected Language | English |
Type | Paper, NonPeerReviewed |
Format | application/pdf |
Rights | Creative Commons: Attribution 4.0 International (CC BY 4.0) |
Relation | http://epub.wu.ac.at/6371/ |
Page generated in 0.1103 seconds