Contributing to orkg
AdiosDr Winzig
Hi,
I am currently creating a mindmap of papers to get an overview of the state of art in machine learning.
The structure is like this:
Papers:
Paper Foo
Paper Bar
...
Tasks:
Supervised Learning
Classifcation
Regression
Unsupervised Learning
Clustering
Reinforced Learning
Problems:
Ontology Learning
ABox Refinment
Link Prediction
Object Recognition
...
Models/Methods:
Neural Networks
Inductive Logic Programming
kNN Bayes SVN
Decision Trees
...
Where this approach falls short, is when I try to model the connections between Tasks/Problems/Models/Papers
This is not really feasible with a mindmap (tree data model), a knowledge graph would be much better. With these connections modeled, questions like the following would be possible:
For which Problems I could use Decision trees?
Which Models/Methods could I use for Link Predictions?
What subclasses of Neural Networks can do Clustering?
Give me all papers which apply Decision Trees on Ontology Learning?
Could I, instead of creating this Mindmap, contribute this work to the orkg in some form?
Cheers
Gordian
Markus Stocker
this is precisely why we are building ORKG. I strongly encourage you
to use it for your purpose here. Your feedback is also highly
appreciated and we are happy to support you. For more immediate
answers to questions you may have, consider joining the Skype channel
https://join.skype.com/giNqo7JBpvtw
Cheers, m.
> You received this message because you are subscribed to the Google Groups "Open Research Knowledge Graph" group.
> To unsubscribe from this group and stop receiving emails from it, send an email to orkg+uns...@googlegroups.com.
> To view this discussion on the web visit https://groups.google.com/d/msgid/orkg/8673cb2e-58e4-4a97-af1a-769c2f1d84e8%40googlegroups.com.