As stated in one of the above linked threads, I’m convinced that link types have a huge potential to further advance what knowledge management software can do. Being able to add semantic markup like this will also help machines to better understand our notes and, in turn, help us again filtering, analysing and making sense of them.
Fully agree. Indeed, for certain areas of my knowledge work, I’ve wondered whether a formal relational or graph database would be best suited to doing the analyses and sense-making I hope for. And I think they would and the capabilities exist right now. But the barrier I think for me and most others would be how cumbersome data entry would be comparable to the flexibility of unstructured, natural language notes.
The exciting possibility, however, is the potential to take advantage of the capabilities of a database while interfacing with such a system through simple notes like in a ZK.
I think we’re closer than not. I’m intrigued by tools like https://grakn.ai/, which I could see working very well for my research purposes. If somehow I could work through notes but feed the notes to something like grakn, it would make querying and inferences more powerful. I especially like the possibility of making new inferences (knowledge not explicitly programmed into the database but derived from the things that are).
Hoping that 2021 sees these things come to fruition. There is so much activity in the space of knowledge management right now. Definitely expecting a lot of advances this year.