Things, not strings; a glimpse into Google's Knowledge Graph

Date: May 24, 2019

Speakers: Héctor Pérez-Urbina, Google

Abstract

For many years, Web search was essentially about matching keywords to queries, but we all know that the keywords we use have much deeper meaning; depending on things such as our location, language, or browser history, searching for 'America' might refer to a country, a continent, or a soccer team. This is why we’ve been working on an intelligent model that understands real-world entities and their relationships to one another.

The Knowledge Graph enables you to search for people, places, or things that Google knows about and instantly get information that is relevant to your query. This is a critical first step towards building the next generation of search, which taps into the collective intelligence of the web and understands the world a bit more like people do.

In this talk I will present Google's Knowledge Graph and discuss some of the things it makes possible.

Bio

Héctor Pérez Urbina is part of the Knowledge Engine team at Google. He holds a DPhil in Artificial Intelligence from the University of Oxford and graduated Summa Cum Laude from Universidad de las Américas, Puebla with a B.Sc. in Software Engineering. His professional interests include Knowledge Representation and Reasoning, Semantic Technologies, and Information Integration.