Schema.org

Schema.org
Name	Schema.org
Founded	02 June 2011
Founders	Google, Microsoft, Yahoo!, Yandex
Key people	Dan Brickley, R.V. Guha
Industry	Semantic Web, Search engine optimization
Website	https://schema.org

Schema.org. Schema.org is a collaborative, community-driven initiative that creates, maintains, and promotes schemas for structured data on the Internet. Founded by major search engine companies, its vocabulary is used to mark up web pages and emails, enabling machines to better understand the information's meaning and context. This structured data enhances how content is displayed in search engine results pages, powers voice assistants, and facilitates data interoperability across the web.

Overview

The primary goal of the initiative is to standardize HTML tags for structured data, allowing webmasters and developers to annotate their content in a way that is recognized by major platforms. This markup helps crawlers from companies like Google and Bing interpret the nature of information, such as events, products, or people. By providing this shared vocabulary, it aims to create a more intelligent and connected web, often associated with the broader vision of a Semantic Web. The schemas are defined using standard formats including JSON-LD, Microdata, and RDFa.

History and development

Schema.org was announced on June 2, 2011, through a joint collaboration between the search engines Google, Microsoft, and Yahoo!. The project was spearheaded by R.V. Guha, a key figure at Google who had previously worked on the Meta Content Framework and the Resource Description Framework. The World Wide Web Consortium has since hosted community discussions around the vocabulary. In 2013, the Russian search engine Yandex joined as a founding sponsor. The project's development is guided by a steering group and extensive public community feedback through its GitHub repository and mailing lists.

Core vocabulary and structure

The vocabulary is organized hierarchically, with the most generic type being Thing, which has properties like name and description. From this root, hundreds of specialized types branch out, including CreativeWork, Event, Organization, Person, Place, Product, and Action. Each type has a set of properties; for example, an Event can have startDate, location, and performer. The vocabulary also defines specific data types and enumerations. The entire structure is formally defined using the Web Ontology Language and is accessible as a machine-readable data set.

Implementation and usage

Web developers implement the schemas by embedding code directly into their web pages. The recommended format is JSON-LD, a JavaScript notation, which can be easily added to a page's head section. Major platforms like Google Search, Bing, and Pinterest use this markup to generate rich results, such as Knowledge Graph cards, carousels, and FAQ snippets. Email providers like Microsoft Outlook and Gmail also use it to enable interactive email features. Tools like the Google Structured Data Testing Tool help validate implementations.

Impact and adoption

The adoption of this structured data vocabulary has significantly influenced search engine optimization practices and the visibility of content online. It is a foundational component for Google's rich snippets and Bing's entity search features. Its use has expanded beyond search to areas like e-commerce on Amazon, social media platforms, and digital assistants including the Google Assistant and Apple's Siri. The widespread markup of local business information has also powered services like Google Maps and Yelp.

Relationship to other standards

The vocabulary builds upon and often integrates with existing Semantic Web standards. It is closely aligned with the Resource Description Framework and can be expressed in RDFa. It also complements other microformats and vocabularies like Dublin Core, FOAF, and GoodRelations. The project maintains extensions for specific verticals, such as health and automotive, and collaborates with standards bodies like the World Wide Web Consortium through groups like the Schema Bib Extend community.

Category:Semantic Web Category:Web standards Category:Search engine optimization