3 ms·
This is really fascinating. It seems there's an interfacing problem at a level, with a sort of depth-expectation on one end of the problem (real-world / technol
by themodelplumber 8y ago
This is really fascinating. It seems there's an interfacing problem at a level, with a sort of depth-expectation on one end of the problem (real-world / technology application), and a more exploratory breadth-expectation on the other (pure academia / science). It'd be cool to develop some standards to create a sort of bridge between the two.
On the breadth end there may be a need for a sort of "contract of depth commitment" to provide insurance against the flighty hijinks of the ever-expanding mind, and at the real-world level you need a sort of "grant of exploration" which allows academia to bring its own type of surface-level one-night-stand concern or even ADHD to the game. Without the latter there's probably too much risk of repeating history while someone else is blazing the trails you won't try.
Anyway thanks for that comment, it's really interesting.
- samuell 8y agoSomewhat related, I suggested how the Semantic Web (aka "Linked Data") and the more real-lifeish Data Science field could be merged, at a Linked Data event in Sweden earlier this year: TLDR; What semweb / linked data lacks the most, is a practical logic / reasoning layer, so that facts can more easily be inferred form existing plain data. I further suggest this is already available in a rock-solid proven technology; Prolog. Blog post: http://bionics.it/posts/linked-data-science http://bionics.it/posts/linked-data-science Slides and video: http://bionics.it/posts/semantic-web-data-science-my-talk-at-linked-data-sweden-2018 http://bionics.it/posts/semantic-web-data-science-my-talk-at...
- mycall 8y agoCould you use something like Google Inference API to generate inferred form from existing plan data?
- arunaugustine 8y agoIsn't Google's Inference API for time series data? Finding patterns? Prolog is more of deductive logic engine right?