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Recap of Knowledge Engineering Webinar by François Scharffe

·Nov 25, 2020 07:00 PM

Happy Wednesday, I recapped the knowledge engineering webinar, led by François Scharffe. He gives a fresh perspective on improving the performance of entity matching for different sources of data, with great examples to support his main thesis. Also find links to the original recording if you haven't seen it yet! https://medium.com/kgbase-blog/the-complexity-to-construct-knowledge-graphs-and-how-low-code-tools-can-help-or-hurt-ae7418b2c0ec

4 comments

· Sorted by Oldest

Renat S.
·
Thanks, Abdus M.! Regarding the first proposal in the article: is “nano schema” a commonly used term? What is it exactly, a class and a relation, but it can be something more?
Abdus M.
·
Renat S., François S. goes more in depth on nano schemas in the webinar. Here's the slide he used, which may answer the question better than I can.
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François S.
·
Hey Renat, "nano" is a randomly chosen order of magnitude meant to express that these schemas are small 🙂 The idea is to have them express a minimal unit of ontological commitment, centered around a concept and a set of properties. They can then be connected together to form the structure of a KG, or extended for domain specific needs. I am currently discussing the idea around before jumping on developing a schema library. I'd be curious to hear your thoughts.
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Renat S.
·
Hey François S., I’ve got it and it feels now like I work in nanotechnologies. 🙂 I have not seen your talk, unfortunately. What is context? Are you working on automatic ontology building for knowledge graphs and a library for it? And those minimal units of ontological commitment could be useful in this context?
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