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Aaron Bradley Aaron Bradley uses knowledge graphs to create intelligent content experiences at Electronic Arts. Knowledge graphs are a relatively new technology that lets content engineers create more meaningful and versatile content experiences. We talked about: his work as a knowledge graph expert and content modeler at Electronic Arts (EA) his definition of a knowledge graph: "machine-readable facts about things derived from one or more sources" the role of knowledge graphs in content work the two main benefits of content graphs for intelligent content: providing structure and assigning meaning the need for different ways to handle content to execute omnichannel strategy the extra work involved in precisely describing content but also the benefits of that work the use of knowledge graphs to facilitate personalization the importance of being able to connect your content how knowledge graphs can help connect content across organizational silos the makeup of the team he works with at EA the meaning behind his title "knowledge graph strategist" how to prepare to become a content knowledge graph specialist the arrival of headless CMSs as a content management option the not-immediately-apparent ubiquity of knowledge-graph technology already Aaron's bio Aaron is a knowledge graph strategist at Electronic Arts. He is a linked-data enthusiast, search veteran, and compulsive categorizer. Connect with Aaron on social media Twitter LinkedIn Video Here’s the video version of our conversation: https://youtu.be/CO5wKV84N2M Podcast intro transcript This is the Content Strategy Insights podcast, episode number 104. The content industry is in the midst of an exciting transition, from old-school publishing and media workflows to new practices that create, manage, and present content in dynamic and more efficient ways. This new world needs content that is thoughtfully structured and meaningful to both the humans who use it and the machines that manage it. Aaron Bradley and his colleagues at Elecronic Arts use knowledge graphs to craft this kind of modern, intelligent content. Interview transcript Larry: Hi, everyone. Welcome to episode number 104 of the Content Strategy Insights Podcast. I'm really happy today to have with us, Aaron Bradley. Aaron is a knowledge graph strategist at Electronic Arts, the big game company. And welcome, Aaron. Tell the folks a little bit more about your work there at Electronic Arts. Aaron: Hi, Larry, a pleasure to be with you. As my title suggests, I am indeed someone who deals with the strategy and then application of knowledge graph technology. The less glamorous part of my job, and something I'm sure that we'll get into in some depth, is as a content modeler. So I take conceptual models developed by our ontologist and convert them into logical models for use in our content ecosystem. So dealing a lot with modeling, but over the past many years I've been involved with what was at one time called semantic web technology morphed into linked data, and now is typified by the phrase in all of its permutation, knowledge graph. Larry: I think, I don't know how common the knowledge is of the knowledge graph concept. Can you define that for folks what a knowledge graph is? Aaron: Sure. There's about two dozen definitions of knowledge graph, lingering around there. So I've developed one of my own, what I hope is somewhat comprehensible, and a knowledge graph is a knowledge base of machine readable facts about things derived from intelligently connected, facts about things derived from one or more sources. Each of those phrases in that is doing a lot of work, especially the intelligently connected. So knowledge bases are something people are well familiar with, and you can even think of some sort of relational database tables or spreadsheets as being a type of knowledge base. But I think the big innovation of the knowledge g...