Build a Small Knowledge Graph Part 1 of 3: Creating and Processing Linked Data

12 thoughts on “Build a Small Knowledge Graph Part 1 of 3: Creating and Processing Linked Data”

  1. Hi there, thank you for sharing this information and knowledge within your Cayley project. Would you or somebody mind linking to an article/tutorial how to crawl > semantic structured data from a website > and save it in the or a knowledge graph? Your video is great for STRUCTURED data, but it is quite difficult to use within unstructured data.

  2. What about processing large software sources? For example parse all mainstream languages using some sort of variative parsings like Prolog DCG grammars, and processing of attribute grammars? I mean software analysis and transformation

  3. Hello, I'm new to schema.org and trying to figure out how it works to improve a Knowledge Graph for a client. In this video series you seem to only speak about Json and not about Microdata (which is suprising in my opinion since Schema.org is mostly about Microdata right?) Why is that? Is JSON the way to go and leave Microdata? Or you use both at the same time: Add JSON in <head> section and then define all the divs in the body with Microdata? Can you please explain?
    Thank you, Max

  4. Hi! I cannot find the git repo you are talking about at the end of the video.. Can you help me? Thanks and.. Well done!

  5. I'm really excited to try this out. Thanks for posting +Jarek Wilkiewicz. I was researching schema.org actions today, so the timing is perfect. 

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