Building Linked Data Products With JSON-LD

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September 17th, 2023

1 hr 1 min 30 secs

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About this Episode

Summary

A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products.

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  • Your host is Tobias Macey and today I'm interviewing Brian Platz about using JSON-LD for building linked-data products

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • Can you describe what the term "linked data product" means and some examples of when you might build one?
    • What is the overlap between knowledge graphs and "linked data products"?
  • What is JSON-LD?
    • What are the domains in which it is typically used?
    • How does it assist in developing linked data products?
  • what are the characteristics that distinguish a knowledge graph from
  • What are the layers/stages of applications and data that can/should incorporate JSON-LD as the representation for records and events?
    • What is the level of native support/compatibiliity that you see for JSON-LD in data systems?
  • What are the modeling exercises that are necessary to ensure useful and appropriate linkages of different records within and between products and organizations?
  • Can you describe the workflow for building autonomous linkages across data assets that are modelled as JSON-LD?
  • What are the most interesting, innovative, or unexpected ways that you have seen JSON-LD used for data workflows?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working on linked data products?
  • When is JSON-LD the wrong choice?
  • What are the future directions that you would like to see for JSON-LD and linked data in the data ecosystem?

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Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

  • Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

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