Rezultati pretraživanja
  1. 10. sij

    What is the role of knowledge scientists in Explainable ? Andreas Blumauer, CEO of the Semantic Web Company, explains it

  2. 24. stu 2019.
  3. 27. ruj 2019.

    The importance of knowledge graphs in analytics - 'Flexibility and potential for dealing with complex interrelated data' > via

  4. 10. ruj 2019.
    Prikaži ovu nit
  5. 23. kol 2019.

    "There is compelling evidence that graph databases will be the go-to database of the '20s." Go Mainstream by ,

  6. 22. srp 2019.

    87% of data science projects never make it to production because challenges like data silos, access, quality and preparation constraints (most of which can be overcome with a ) are still major hurdles. via

  7. 19. srp 2019.

    “Graph databases are inherently more flexible than traditional relational database systems because it is possible to treat the metadata about the database as data itself, accessible in exactly the same way.”

  8. 17. srp 2019.

    Creating an ontology can feel burdensome, but keeping it simple and domain-focused can allow your to be up and running in no time:

  9. Die Effektivität einer hängt von den Daten ab, die sie benutzen kann. Der Zugriff auf relevante Infos ist oft erschwert, da sie in verschiedenen IT-Systemen abgelegt sind und der Algorithmus nicht rankommt. Eine Lösung: der Industrial .

  10. 27. lip 2019.

    "Oracle ... is now leading the field in making systems available to the wider business community."

  11. 19. lip 2019.

    This is an interesting article in relation to yesterdays Dutch news headlines about the regulation of use of algorithms by government institutions. Netage recommends using Knowledge Graph technologies to support AI and Machine Learning.

  12. What is a knowledge graph and how does one work? Even though it probably affects lives daily, most people have no idea what a “knowledge graph” is. Asking your voice assistant what the weather will be like tomorrow? That’s thanks to a

  13. 11. lip 2019.

    How can an editorial biz benefit of a ? Learn how takes advantage of the knowledge graph built with WordLift to: 💰 maximize monetization with a data-driven editorial plan 📈 measure the performance 🤓 grow its audience

  14. Eine große Herausforderung von : Datensilos erschweren den Zugriff durch verschiedene IT-Systeme. Mit dem will dieses Problem lösen und im industriellen Umfeld auf eine neue Stufe heben. Lesen Sie hier:

  15. 28. ožu 2019.

    A story of our time. One shot answers and the challenges for those [of us] & the SEOs feeding the knowledge graphs and the knowledge graph owners delivering "the handy oracle on the kitchen counter” .org

  16. 27. ožu 2019.

    "Building the ontology was a grueling task ... but the structure it provided allowed new information to be sorted like laundry into dresser drawers." and the Search for the One Perfect Answer via

  17. 15. pro 2018.
  18. 28. stu 2018.

    From everyone at : thank you, to and , for including Grakn in the list of technologies to watch, and for the brilliant articulation of what we do!

  19. 4. tra 2018.

    GKG was bootstrapped with Freebase. This story of importance attached to Giannandrea makes me believe that  more companies see the importance of empowered AI, a theme we have been pursuing at  Kno.e.sis - Ohio Cente…

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