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303 results for “vpavlyshyn”

  1. youtube.com/watch?v=l3l7N41mxl

    How #personalknowledgegraphs differ from their enterprise counterparts? How did #personal #knowledge #graphs become a critical part of #personal #ai and #agents? And what should we do with a #sovereign storage to make #PKG a fundamental tool in the user's hands?

    - PKG has quite broad and dynamic #ontology, and this open-ended ontology needs #ai for management and meaning

    - PKG quite often has partially satisfied entities that require slot feeling process on demand

  2. youtube.com/watch?v=l3l7N41mxl

    How #personalknowledgegraphs differ from their enterprise counterparts? How did #personal #knowledge #graphs become a critical part of #personal #ai and #agents? And what should we do with a #sovereign storage to make #PKG a fundamental tool in the user's hands?

    - PKG has quite broad and dynamic #ontology, and this open-ended ontology needs #ai for management and meaning

    - PKG quite often has partially satisfied entities that require slot feeling process on demand

  3. youtu.be/61AyuqhJmHA?si=FT3Hck
    Imagine 40+ years ago it was like system that in dialogue mode was answer questions in natural language . It was a build on . How databases could make graph easier and more powerful in tandem with

  4. youtu.be/61AyuqhJmHA?si=FT3Hck
    Imagine 40+ years ago it was #chatgpt like system that in dialogue mode was answer questions in natural language . It was a #deductivedatabases build on #prolog. How #deductive databases could make #personalknowledge graph easier and more powerful in tandem with #ai

  5. youtu.be/61AyuqhJmHA?si=FT3Hck
    Imagine 40+ years ago it was #chatgpt like system that in dialogue mode was answer questions in natural language . It was a #deductivedatabases build on #prolog. How #deductive databases could make #personalknowledge graph easier and more powerful in tandem with #ai

  6. youtu.be/61AyuqhJmHA?si=FT3Hck
    Imagine 40+ years ago it was #chatgpt like system that in dialogue mode was answer questions in natural language . It was a #deductivedatabases build on #prolog. How #deductive databases could make #personalknowledge graph easier and more powerful in tandem with #ai

  7. youtu.be/61AyuqhJmHA?si=FT3Hck
    Imagine 40+ years ago it was #chatgpt like system that in dialogue mode was answer questions in natural language . It was a #deductivedatabases build on #prolog. How #deductive databases could make #personalknowledge graph easier and more powerful in tandem with #ai

  8. volodymyrpavlyshyn.medium.com/

    I model graphs with string labels and hypergraphs in a regular relational DB in a few articles. It makes Personal Knowledge Graphs more portable for different kinds of applications.

    How to model of complex as nodes in a plain relational and portable ?

    Lets discover options together

  9. models need a to represent a complex multimodal knowledge
    youtu.be/38FlFZ5HVUM

  10. volodymyrpavlyshyn.medium.com/

    Last time, we modeled as undirected graphs. Today, we will examine the option of directed hypergraphs in relational models.

    I still recommend going with if you can model your domain in a more # rdf-friendly way. Try this model if you have a use case of a directed hypergraph with complex relations.

  11. volodymyrpavlyshyn.medium.com/

    So, go from to on steroids.

    How does help us simplify structure? When using a different kind of graph.

    Yep, all this is a pure relational model that works better with a . Relational databases could be a good choice for and applications

  12. volodymyrpavlyshyn.medium.com/

    So, go from #directedgraph to #hypergraph on steroids.

    How does #namedgraph help us simplify structure? When using a different kind of graph.

    Yep, all this is a pure relational model that works better with a #datalog. Relational databases could be a good choice for #personalknowledge #graphs and #ai #empowered applications

  13. volodymyrpavlyshyn.medium.com/

    So, go from #directedgraph to #hypergraph on steroids.

    How does #namedgraph help us simplify structure? When using a different kind of graph.

    Yep, all this is a pure relational model that works better with a #datalog. Relational databases could be a good choice for #personalknowledge #graphs and #ai #empowered applications

  14. volodymyrpavlyshyn.medium.com/

    So, go from #directedgraph to #hypergraph on steroids.

    How does #namedgraph help us simplify structure? When using a different kind of graph.

    Yep, all this is a pure relational model that works better with a #datalog. Relational databases could be a good choice for #personalknowledge #graphs and #ai #empowered applications

  15. So last time, I showed you how to build Personal Knowledge Graphs in obsidian just with markdown with no need to learn RDF or any other semantic tooling .

    Today we will do more cool stuff

    volodymyrpavlyshyn.medium.com/

    Let's import your obsidian vault to RDF !!