Easy graph builder11/13/2023 ![]() ![]() In this space, we have lots of different companies – startups, medium-sized businesses, and the pharma-giants – all of which are working on something called therapeutic molecules. Knowledge graph immediately appeared as the best option, which would lead me to additional insights and gain wisdom. This is exactly represented in the shape of a graph. But in order to capture knowledge, I will need to label it, give it some information and context, and connect the dots. Relational databases are perfect for capturing siloed data, things in a particular domain, as shown in the image above. If we take a look at the number of deaths predicted in 2019, there’s still a lot of work to be done. Treatment of cancer has seen good improvements over the years, but the statistics are still pretty abysmal. It’s a very non-discriminating disease that can affect basically anybody at any point of time. And I had a brush with cancer myself, which fortunately turned out to be not serious. I have seen idols in the business being affected by cancer. I have many friends that are affected by cancer. It really started with my interest in oncology (cancer research). Here is how I built a graph that discovers knowledge about cancer growth discovery, which you can use as a guide to build your own knowledge graph from scratch. That’s exactly what I did even though I am not a full-blown developer and don’t write code as my job on a daily basis, which means that you can do it too. Wolfgang Hoeck at NODES 2019.īuilding a knowledge graph sounds tricky enough – but doing so from scratch without any source code sounds like a mission impossible. Editor’s Note: This presentation was given by Dr. ![]()
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