The value of content tagging (e.g., PhysML) and keyword tagging (e.g., ScienceWise) is apparent in aggregate, like for searching. That benefit is to consumers w

The value of content tagging (e.g., PhysML) and keyword tagging (e.g., ScienceWise) is apparent in aggregate, like for searching. That benefit is to consumers while the burden is currently on the content creators. I don't know of any incentives within academia or grant processes that would motivate content authors to tag their content. With the exception of creators of the tagging systems. That means bulk analysis (whether using a grammar or natural language machine learning method) is key. Citation graphs (which is mostly what's been done previously[0]) pale in comparison to text analysis. The possibility of enabling complex searches would be a big leap forward in science. [0] https://physicsderivationgraph.blogspot.com/2020/05/literature-review-for-using-arxiv-as.html https://physicsderivationgraph.blogspot.com/2020/05/literatu...