- Abstract: As early as the mid sixties, motivated by the ever growing body of scientific knowledge, scholars identified the need for data to be organised in a manner that is more intuitive for humans to digest. Additionally, they envisioned a future where intelligent systems would be able to make sense of the data and alleviate humans from performing complex analytical tasks. Although Semantic Web technologies have demonstrated great potential in this regard, the vision has yet to be realised. In this position paper, we highlight some of the challenges experienced by Linked Data publishers who want to make their data Findable, Accessible, Interoperable and Reusable (FAIR), and argue for additional research on policy languages, transparency, trust, and service discovery, with a view to making the intelligent agent vision a reality.
- Keywords: Policies, Constraints, Transparency, Trust, Services
- Submission category: Vision Statement