There’s been growing discussion recently concerning “content graphs” that utilize graph relationships to manage content for online publication. Some have observed the similarities between knowledge graphs and headless content management and have sought to combine these approaches. Yet how compati...

Machine-mediated interactions on the Web call for different approaches towards marketing communication and its artifacts: content and data objects. Linked Data and Content Now! is about the potential and real use of schema.org for marketing communication on the Web. In this talk you will learn ho...

We started our Knowledge Graph journey with a content knowledge graph that helps us unify and connect various media types for our multi-purpose streaming platform (RTL+). We include media, entities & enriched metadata from Movies, Series, Music, Podcasts and Audiobooks. But we soon realised that ...

This talk will look at Knowledge Graphs in publishing and broadcast media. Where have things moved on since pioneering projects using Linked Data? Have knowledge graphs significantly changed the landscape? We explore the topic through a set of case studies looking at how knowledge graphs are chan...

Exploring the Power of Content Knowledge Graphs will explore the potential of using structured data to improve the way we organize and access information. The talk will introduce the concept of knowledge graphs and discuss their potential benefits for both content creators and consumers. It will ...

The talk focuses on the use of large language models (LLMs) for generative AI, and how incorporating symbolic knowledge (attributes from a knowledge graph of an eCommerce website) can improve the accuracy and usefulness of generated content.

Presented by: Sara Duane & Sara Nash
Content personalization and recommendation engines are pervasive in today’s society. They power some of our most used platforms–including Amazon, Spotify, Netflix, and more. However, many organizations struggle to provide their employees and customers with the...