CODEWITHSUNDEEP
machine-learningrdfmarklogicontologymarklogic-10
Kiran
Kiran

Reputation: 3047

Machine Learning on RDF store to detect Pattern

I am new to machine learning, so please excuse my level of details here.

I am looking to see if there is a way to develop and train a machine learning model to look at the RDF graph and start detecting graph patterns and flag a particular node if it detects a graph pattern.

I am not really looking to export the data to a text format and run it through a AutoML or similar tool to train and use the model, but as much as possible stick to the rdf store itself for the pattern matching.

Can someone please share me any pointers that can be useful for my need.

Upvotes: 2

Views: 158

Answers (1)

liuyw1938
liuyw1938

Reputation: 31

since you want to keep data inside MarkLogic, I suggest you try out the upcoming MarkLogic 10 beta, with in-database machine learning capability. For your question, if you can afford to hand label RDF graphs with "patterns" then you can try classification models, otherwise you can try clustering models. These are just starters, for RDF graphs specifically, there might be much more suitable types of models.

For MarkLogic 10, the majority of your work will be preparing training data, and selecting/designing/building/training of the model.

Upvotes: 3

Related Questions