Knowledge Graphs and Linked Data

Thursday, 1:00 PM EST

There are many attempts to build data-driven learning and reasoning capabilities these days in the worlds of machine learning and AI. Deep learning systems have had remarkable results, but even its thought leaders and strongest advocates acknowledge the need for “common sense” in the learning process. That means different things to different people, but Linked Data and Knowledge Graphs represent one approach to capture what we know about a domain. They are increasingly being used to present domain views that grow over time and aren't
domain-specific using network-friendly standards.

We will discuss the emergence of Knowledge Graphs as an emerging solution to a missing capability in most organization's IT strategies. We will discuss how some of the biggest organizations in the world are heading in this direction, it's impact on API design and more. We will focus on specific tools, platforms and standards that are making Knowledge Graphs a crucial part of your overall solutions.

About Brian Sletten

Brian Sletten

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.

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