Using Knowledge Graphs to create dynamic learning paths for neurodiverse learning using the semantic tree concept

PS we are nearing 100,000 subscribers!

I have been working on this idea for a?while now

Due to the neurodiversity, its a subject close to my heart due to my personal neurodiversity experience with high functioning autism?spectrum

we have made a lot of progress

I wanted to share this?with you

We hope to have a draft copy of the paper towards our AI summit in May (fully sold out!)?

The paper will be released in public domain

Using Knowledge Graphs to create dynamic learning paths for neurodiverse learning using the semantic tree concept

By Ajit Jaokar Anjali Jain Dr. Kaouter Karboub Aditya Jaokar Dr. Yogita Khedkar

I first started with the idea of the Inverse bloom method of learning with?

Dr. Yogita Khedkar

To implement this

I explored the semantic tree learning approach?popularised by Elon Musk

extending it to mixture of experts and determining weights for knowledge graphs

So, we see it as

Given a set of documents?

We find the nodes, the edges and the weights using multiple perspectives??

We then create the semantic tree as

• trunk
• branches
• leaves

recursively

We chose Fast fashion for this task and are writing the code for this and also creating a literature review for learning for autism spectrum

The end result would apply to any one and would help you learn a concept using the semantic tree concept using knowledge graphs - which implements the inverse bloom taxonomy enabling learners to take their own learning journeys

many thanks to Neo4j and David Stevens for their feedback and also John Alexander and Kelly Coutinho for their feedback

PS I shared the back story of how this evolved in terms of knowledge graphs also here