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Discover Headless Tech

A Conversation about Knowledge Graphs vs Structured Content for Enterprises Part 1

Jul 29, 2022
Aaron Bradley, an expert in knowledge graphs and structured content implementation, discusses the differences between structured and unstructured content, the integration of knowledge graphs and structured data, and the value proposition of knowledge graphs in connecting and inferring knowledge from multiple sources.
41:27

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Structured content breaks down information into individual components for machines to understand and connect the data.
  • Knowledge graphs enable the inference of new facts from existing ones and combine data from multiple sources to derive meaningful insights.

Deep dives

Overview of the Podcast Episode

In this podcast episode, Marcello interviews Aaron Bradley, a senior structured content architect at Teles. The conversation revolves around structured content and knowledge graphs for the enterprise. Aaron discusses his background starting as a technical services librarian and transitioning into web design, search engine optimization, and his deep involvement with schema.org. He explains that structured content breaks down information into individual and discrete components, allowing machines to understand and connect the data. The discussion then delves into the concept of knowledge graphs, which are machine-readable facts intelligently connected to provide meaningful insights. Aaron emphasizes the importance of connections and the ability to infer new knowledge from existing facts in a knowledge graph.

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