Quite the contrary. The idea behind the semantic web was to make content machine-readable by manually annotating it. For instance, this comment would have fields like "author", "date", "language", and maybe "ip" to make it interpretable to the machines. You don't need that because the machines can figure it out without the annotations. A run-of-the-mill computer vision model can tag an image much better and much more accurately than most humans.
For the creation part of a KG I do understand this. But for inference and knowledge organisation, there is still value in graph based semantic structures imo
Comments
Quite the contrary. The idea behind the semantic web was to make content machine-readable by manually annotating it. For instance, this comment would have fields like "author", "date", "language", and maybe "ip" to make it interpretable to the machines. You don't need that because the machines can figure it out without the annotations. A run-of-the-mill computer vision model can tag an image much better and much more accurately than most humans.
For the creation part of a KG I do understand this. But for inference and knowledge organisation, there is still value in graph based semantic structures imo