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With Schema.org you can structure your website with metadata and help search engines understanding your content. Think about Schema.org vocabulary as a “lingua franca” for search engines: a universal way used to describe web pages with structured data. Search Engines use that information to enrich the user experience on their results and to generate rich snippets (small data-driven widgets).

One of the latest introductions to the schema vocabulary is known as Actions, which focuses on actionable items on a website. While all the existing Schema.org markup is tailored around describing things – like people, organizations, events, and stuff like that – Schema.org is now expanding to include Actions, Potential Actions, and Entry Points: this will help websites “to describe the actions they enable and how these actions can be invoked.”

What are you going to learn?

In this free 45-minute webinar Umutcan Şimşek will show us how many Actions can be taken and modeled through Schema.org, more specifically representing some of the following use cases:

  • Movies that can be watched, songs that can be listened
  • Products that can be reviewed
  • Events that can be RSVPed
  • Reservations that can be confirmed/canceled
  • Offers that can be saved
  • Hotels that can reserve rooms
  • Airlines that can find flights

 

Would you like to have a more detailed look at the main points of this super actionable lecture? Here you can read the full presentation.

Who is Umutcan Şimşek?

Umutcan is Research and Teaching Assistant at STI Innsbruck Research Group in the Department of Computer Science at the University of Innsbruck.

Before joining the Institute, he worked as a software engineer and received his dual master’s degree from Ege University, Izmir, Turkey and Technische Hochschule Mittelhessen, Giessen, Germany in October 2015.

Umutcan is currently involved in EU H2020 project ENTROPY, which aims to motivate people to adopt energy efficient lifestyles. He is searching for new ways to use semantic technologies to solve real-world problems.

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