Knowledge Graphs: Turning Complex Information into Helpful Answers

September 9, 2019

Tags: Data Intelligence, Document Intelligence, Natural Language Processing

A knowledge graph is a powerful way of organizing information. At Adobe Research, research scientists are exploring new ways of using knowledge graphs to develop new tools to inform and inspire our customers. 

What’s unique about knowledge graphs is their ability to represent complex and chaotic real-world material into a kind of rich, interconnected network where nodes represent bite-sized pieces of information and edges represent the connections between them. This gives users the ability to search a large, detailed database and find answers that might be otherwise hidden. Knowledge graphs could be an ideal tool for helping to recommend, organize, and explain complex tasks with numerous steps, such as learning how to use new creative software, or neatly distilling thorny topics, such as best practices in digital marketing. 

This video offers insights into the way in which one team at Adobe Research is leveraging knowledge graphs in their work, opening a pathway towards advances in intelligent creative assistants and more. Other teams at Adobe are investigating using knowledge graphs for marketing decision-making and for learning from sophisticated sets of documents. 

Contributors: Walter Chang, Doo Soon Kim, Somak Aditya, Atanu Sinha, Manoj Kilaru, Adobe Research

Video created by Claire (Qin) Li, Adobe Research

Post by Meredith Alexander Kunz

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