Thread by @CryptoWaving

⚡️AI Meets Data Linking: The Key to Next-Level Intelligence!

SchemaGPT is here to help building Semantic Web.

github.com/u-hubar/Schema…

Confused? Follow the thread to receive insight on what is Semantic Web, RDF and how AI can benefit from it
🧵

Lamborghini RDF Schema example:

1/ Today I’m releasing the first version of simple Python package that helps creating RDF Schemas from natural language using GPT-3 🚀🔥

2/ But why RDF Schemas are important and how they’re connected with Semantic Web and Knowledge Graphs, you may ask?

3/ What if we could browse the web and access information just like we do our own memories? That's the vision of the #SemanticWeb! 💻🔍

4/ Instead of just HTML pages, imagine a web where information is organised into meaningful data connections. This allows computers to understand and use the information in a more efficient and effective way. This is where Resource Description Framework (RDF) comes into play.

5/ RDF Schemas are at the heart of this vision, serving as a blueprint for how information should be structured and interconnected. They help to ensure that the data on the web is organised, making it easier for computers to understand and use it.

6/ By using RDF Schemas, we can build a more connected web where information is linked together in a giant Knowledge Graph. This makes it easier for any system to access, process, and analyse the information, leading to better search results, personalisation, and automation.

7/ While RDF is a standard for description of any kind of digital/physical objects, Knowledge Graphs can be seen as giant, interconnected databases that represent real-world entities and their relationships.

8/ Allowing such huge source of interconnected data be controlled by any centralised authority is really dangerous, giving too much power to single entity.

9/ That’s why @origin_trail works on distributed version of the Knowledge Graph — OriginTrail Decentralised Knowledge Graph (DKG).

10/ The result? The best of both worlds – the power of Knowledge Graphs, combined with the security, transparency, and accessibility of decentralisation.

11/ Taking concept of Semantic Web even further, it’s pretty easy to imagine how AI can benefit from access to huge source of interlinked data. #AI has the potential to change our world, but it can only be as good as the data it's fed. 🤖💡

12/ Structured data makes it easier for AI to understand, process, and use information, resulting in more accurate and informed decisions, leading to better decision-making and more intelligent applications.

13/ Let ChatGPT speak for itself

14/ AI 🤝 Semantic Web. SchemaGPT is a good example of how building Semantic Web can be simplified with the power of AI. And, in return, the structured data of the Semantic Web will unleash the full potential of AI.