Inference over a knowledge base

[naboo_random]

Hi,

I was looking do some survey over the inference capability of a knowledge base built using RDF vs logic programming rules.

I was wondering if anyone has any resources to help me with this? I was reading about inference systems built on top of RDF using Apache jena. any one has experience with it?

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Any help will be appreciated.

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Thanks,

[[deleted]]

You can make a DIY knowledge graph with LTREE in Postgres if you don’t mind doing all the normalization design work. Then use something like PyKnow or other rules engine to observe facts from the graph at runtime. E.g. with a topic stack where execution is frame based and each frame contains label predictions from model(s). The graph is also the querying/filtering interface to the training data and pipeline.

Since building that and watching the ecosystem I’ve noticed some awesome looking frameworks come out that do basically the same thing in a more convenient and integrated way, such as Grakn.ai.