2018/06/25 by Axel Polleres, Polleres, Axel, Maulik R. Kamdar +7
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Natural Language Processing Techniques #Semantic Web and Ontologies
paper · doi:10.57938/2c4e88fc-4041-4bc5-989e-7ad26e84d0af
openalex publication_date 2018/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
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.