This website uses cookies to ensure you get the best experience on our website. Learn more

Google I/O 2013 - From Structured Data to the Knowledge Graph


Google I/O 2013 - From Structured Data to the Knowledge Graph

Dan Brickley, Jason Douglas

While the web began with free-text documents, most of it is now backed by structured databases. However, too often the structure from these databases is lost on the way to HTML. It doesn't have to be that way. We'll cover what new features can be powered by this structured data as well as tools & techniques for making sure this useful structure is not lost on your site.

For all I/O 2013 sessions, go to

Google I/O 2013 - Structured Data: From Inbox to Searchbox

Aparna Chennapragada

Did you know that you can use the same markup that you use on the web in Gmail and on Google Search?

For all I/O 2013 sessions, go to

Google I/O 2013 - The Freebase APIs: Tapping into Google's Knowledge Graph

Shawn Simister

Freebase is the open core of Google's Knowledge Graph. The Freebase APIs help developers enhance their applications so they better understand the people, places and things users care about. We'll dig into code samples and show how to enhance your application with Knowledge Graph data.

For all I/O 2013 sessions, go to

Google I/O 2013 - Hands-On: New Google Tools for Structured Data

Josh Ain, Justin Boyan

At Google, we're making more and more use of structured data to help users find your content. In addition to a variety of rich snippets that enhance search results, we're now showing event calendars for cities and venues, reviews for movies in the Knowledge Graph, ingredient filters for recipes, and more. How do you ensure your site is participating in features like these? We'll answer that question by demoing a suite of new and updated tools — including Data Highlighter and the Structured Data Dashboard — that make providing and validating your site'€™s structured data easier than ever.

For all I/O 2013 sessions, go to

Google I/O 2013 - Project Ground Truth: Accurate Maps Via Algorithms and Elbow Grease

Andrew Lookingbill, Michael Weiss-Malik

In 2008, Google began project Ground Truth. Its goal was to map the world from authoritative data sources, via a unique mix of algorithms and elbow grease. To date, the project has created and launched high-quality map data of 42 countries in Google Maps. In this session, you'll get a behind-the-scenes look at the inner workings of Ground Truth. Come see how we combine a mix of advanced algorithms, supplemental data (such as aerial and Street View imagery), as well as raw human labor to create and maintain map data that corresponds as closely as possible to real-world truth on the ground.

For all I/O 2013 sessions, go to

Matt Cutts Q&A: What is the Vision of Google's Knowledge Graph & Structured Data?

How Author Tags and Structured Data Will Help You Prepare For The Future

After the SEO 2013: The Future of Search panel at SES Chicago, Dana Todd, Vice President of Performance Innovation, Performics; grabbed Anne Kennedy and asked her to help us all prepare for the future.

Anne Kennedy, SES Advisory Board; International Search Strategist, Author, Beyond Ink USA; is responsible for a lot of the content at SES and just finished a book 'Global Search Engine Marketing'.

Anne says that she is seeing a larger and larger reliance on structured data in search engine results. If you don't know what structured data is, Google it. Basically proper use of structured data involves tagging your content so that Google knows exactly what your site is and what its about. Restaurant reviews that are taking the place of the description snippet are a good example of structured data. This is one of the factors driving the shift in optimization from being keyword driven to involving technical improvements, like this, that influence search results.

The Second tip that Anne gives us is that Google+ now lets you put an author tag on your Google+ account. Google uses these to determine rankings so you can get a better footing by beefing up your author page and making sure it is complete.

Join SES on Facebook at:
Follow us on Twitter: @SESConf
Register for the next SES Chicago at:

Follow Anne on Twitter: @AnneKennedy
Visit her website:
Buy her book:

Google I/O 2013 - Identity Tech Overview: Less Pain, More Gain

Tim Bray

Identity is hard, but the penalties for getting it wrong are severe. Good news: technologies are surfacing that reduce developer pain while improving user experience. This talk highlights them and introduces a framework, starting from your unique combination of constraints, users, and platforms, to help you figure out which technologies and policies will work for you.

For all I/O 2013 sessions, go to

Understanding the Knowledge Graph and Optimizing it for Your Brand - Kahena Lunch and Learn

Get ahead of the curve and get your site connected to the knowledge graph.

Google's algorithms keep getting smarter and learning what queries relate to which topics by using more intelligent methods.

We don't know what the next update has in store for us, but one thing's for sure, the Knowledge Graph and the visual elements which display in the SERPs are here to stay.

Structured Data Lightning Talk - Google and AAAI 2011

Google Tech Talk (more info below) August 9, 2011 Presented by Alon Halevy. ABSTRACT: Google hosted 100 attendees of the 2011 conference for the Association of the Advancement of Artificial Intelligence (AAAI) at our San Francisco office. The program showcased a featured talk by Director of Research Peter Norvig and a lightning talk series on an array of projects relevant to the field of artificial intelligence and its applications. About the speaker: Alon Halevy is a Research Scientist at Google. He leads structured data efforts including Google Fusion Tables.

Google I/O 2013 - Behind the Data Sensing Lab: Gathering, Processing, and Analyzing Data at Scale

Amy Unruh, Kim Cameron

Highly scalable and rapid data collection and analysis is a key need for many mobile and gaming apps, as well as for sensor networks and the Internet of Things. We'll show how the Data Sensing Lab incorporates a key Google Cloud Platform pattern: a high-throughput pipeline for data collection, processing, and analysis. We use the Cloud Endpoints API to collect constantly streaming data; process large amounts of data with high throughput using App Engine, Cloud Storage, and data transformation on Compute Engine; and query many GBs of collected data in just a few seconds using BigQuery.

For all I/O 2013 sessions, go to

Google I/O 2013 - Semantic Video Annotations in the YouTube Topics API: Theory and Applications

Philipp Pfeiffenberger, Shirley Gaw

Did you know that YouTube automatically classifies videos based on the Freebase Open Knowledge Graph topics that they relate to? We'll talk more about how we pull off this feat of classification, as well as how you can use topics to power YouTube API searches or find related videos.

For all I/O 2013 sessions, go to

Alon Halevy: Structured Data on the Web (and coffee)

Google's Alon Halevy spoke about structure data on the web and coffee at the Big Brains event at BloomReach on 2-21-13. Alon heads structured data research at Google and is the author of The Infinite Emotions of Coffee (

More info on Big Brains:

Neo4j Online Meetup #7: Building the Wikipedia Knowledge Graph in Neo4j

Knowledge Panel to appear for Business Name in Search

How to get the Knowledge Panel to show in search results when I search for my Business Name?

There is no one single trigger, but rather, Google relies on signals from multiple sources in order to display the knowledge panel in a search result for a business name.

This is the checklist I have created for myself when I start a local seo campaign.


Strands of the modern semantic web:, Wikidata, and the Knowledge Graph enables website makers to publish data that can be understood by machines as well as humans. Wikidata has 25 million data items openly available for reuse. The structured data in Google's Knowledge Graph, which builds on Wikidata and data, is available to you through the Search API. Learn how the modern semantic web is evolving, and how you can take advantage of it.

Google I/O 2013 - Google Maps + HTML5 + Spatial Data Visualization: A Love Story

Developers can learn more about the Google Maps API at
Presenter: Brendan Kenny

Much if not most of the world’s data has a geographic component. Data visualizations with a geographic component are some of the most popular on the web. This session will explore the principles of data visualization and how you can use HTML5 - particularly WebGL - to supplement Google Maps visualizations.

For all I/O 2013 sessions, go to

Google I/O 2013 - Actions in the inbox, powered by schemas

Claudio Cherubino, Shalini Agarwal

Does your service send emails? During this session we will show you how to add structured data to your emails to enable actions directly from the inbox and increase user engagement.

For all I/O 2013 sessions, go to

The Knowledge Graph and You: Video actions and movie reviews (100 Days of Google Dev)

The Knowledge Graph is an incredibly powerful tool and can help people make better decisions about the media they consume. Learn how your critic review and video actions can be surfaced on Google to help users find your content.

For more information about integrating with the Knowledge Graph, visit: and

Watch more Google Search for Developers videos here:

Subscribe to the Google Developers channel at

Knowledge Graphs & Deep Learning at YouTube

Aurelien explains how you can combine Knowledge Graphs and Deep Learning to dramatically improve Search & Discovery systems. By using a combination of signals (audiovisual content, title & description and context), it is possible to find the main topics of a video. These topics can then be used to improve recommendations, search, structured browsing, ads, and much more.


dotAI 2018


Aurelien Geron


dotconference Organizer provider Coding Tech with the permission to republish this video.


Original video source: