Schema.org explained

Schema.org
Organization:Google, Yahoo!, Microsoft, Yandex
Base Standards:URI, HTML5, RDF, Microdata, ISO 8601
Related Standards:RDFa, Microformat, RDFS, OWL, N-Triples, Turtle, JSON, JSON-LD, CSV
Abbreviation:schema
Domain:Semantic Web
License:CC-BY-SA 3.0

Schema.org is a reference website that publishes documentation and guidelines for using structured data mark-up on web-pages (in the form of microdata, RDFa or JSON-LD). Its main objective is to standardize HTML tags to be used by webmasters for creating rich results (displayed as visual data or infographic tables on search engine results) about a certain topic of interest.[1] It is a part of the semantic web project, which aims to make document mark-up codes more readable and meaningful to both humans and machines.

History

Schema.org is an initiative launched on June 2, 2011, by Bing, Google and Yahoo![2] [3] [4] (operators of the world's largest search engines at that time)[5] to create and support a common set of schemas for structured data markup on web pages. In November 2011, Yandex (whose search engine is the largest in Russia) joined the initiative.[6] [7] They propose using the schema.org vocabulary along with the Microdata, RDFa, or JSON-LD formats[8] to mark up website content with metadata about itself. Such markup can be recognized by search engine spiders and other parsers, thus granting access to the meaning of the sites (see Semantic Web). The initiative also describes an extension mechanism for adding additional properties.[9] In 2012, the GoodRelations ontology was integrated into Schema.org.[10] Public discussion of the initiative largely takes place on the W3C public vocabularies mailing list.[11]

Much of the vocabulary on Schema.org was inspired by earlier formats, such as microformats, FOAF, and OpenCyc.[12] Microformats, with its most dominant representative hCard, continue (as of 2015) to be published widely on the web, where the deployment of Schema.org has strongly increased between 2012 and 2014.[13] In 2015,[14] Google began supporting the JSON-LD format, and as of September, 2017 recommended using JSON-LD for structured data whenever possible.[15] [16]

Despite the advantages of using Schema.org, adoption remained limited as of 2016. A survey in 2016 of 300 US-based marketing agencies and B2C advertisers acrossindustries showing only 17% uptake.[17] As of 2024 over 45 million web domains have used schema markup on their web pages.[18]

Validators, such as the deprecated[19] Google Structured Data Testing Tool, or more recent[20] Google Rich Results Test Tool,[21] Schema.org Markup Validator,[22] Yandex Microformat validator,[23] and Bing Markup Validator[24] can be used to test the validity of the data marked up with the schemas and Microdata. More recently, Google Search Console (formerly webmaster tools) has provided a report section for unparsable structured data. If any Schema code on a website is incorrect, it will show in this report.[25] Some schema markups such as Organization and Person are commonly used to influence search results returned by Google's Knowledge Graph.[26]

The popularity of Schema.org has served for its use as a base for other schemas, such as the Croissant specification for machine-learning datasets.[27]

Schema types

Schema vocabulary includes sets of types, each of which have related metadata properties that can be illustrated using predefined enumerations and Datatypes. Types are managed by schema.org and are regularly updated. As of February 2025, there are over 800 schema types.[28] There are a number of subjects and elements that a web page can be marked up with using a Schema, with examples[29] including:

Examples

Microdata

The following is an example[30] of how to mark up information about a movie and its director using the Schema.org schemas and microdata. In order to mark up the data, the attribute itemtype along with the URL of the schema is used. The attribute itemscope defines the scope of the itemtype. The kind of the current item can be defined by using the attribute itemprop.

Avatar

Director:

James Cameron(born ) Science fiction Trailer

RDFa 1.1 Lite

Avatar

Director:

James Cameron(born ) Science fiction Trailer

JSON-LD

Notes and References

  1. Web site: About schema.org initiative . W3C . 2018-06-28.
  2. Web site: Home - schema.org . 2025-02-14 . schema.org.
  3. https://googleblog.blogspot.com/2011/06/introducing-schemaorg-search-engines.html Introducing schema.org: Search engines come together for a richer web
  4. https://blogs.bing.com/search/2011/06/02/introducing-schema-org-bing-google-and-yahoo-unite-to-build-the-web-of-objects/ Introducing Schema.org: Bing, Google and Yahoo Unite to Build the Web of Objects
  5. Web site: Top 5 Search Engines from Oct to Dec 10 . StatCounter . 2011-01-17.
  6. Web site: Yandex joins Google, Yahoo! and Bing to collaborate on Schema.org - TechCrunch . nate451 . 2017-07-06.
  7. Web site: Yandex now supports schema.org markup . blog.schema.org . 2017-07-06.
  8. Web site: Getting Started - schema.org . schema.org . 2017-07-06.
  9. Web site: Extending Schemas . 2011-06-02 . schema.org . 2011-06-02.
  10. Web site: Good Relations and Schema.org . blog.schema.org . 2017-07-06 .
  11. Web site: W3C web vocabularies mailing list . 2013-07-22 . w3.org . 2013-07-22.
  12. Web site: FAQ . schema.org . 2011-06-02.
  13. Web site: Web Data Commons – RDFa, Microdata, and Microformat Data Sets -- Extracting Structured Data from the Common Web Crawl. 2015-04-13 . 3.1. Extraction Results from the December 2014 Common Crawl Corpus . 2015-04-13 .
  14. Web site: Easier website development with Web Components and JSON-LD. 2015-03-09 .
  15. Web site: Introduction to Structured Data. 2017-09-13 .
  16. Web site: How to add Schema Markup Data JSON-LD . 2019-09-06 . YouTube.
  17. Web site: Prioritize Search To Maximize ROI Of Marketing . 2017-01-01 . 2018-12-06 . 2023-03-20 . https://web.archive.org/web/20230320111101/http://advertiseonbing.blob.core.windows.net/blob/bingads/media/library/insight/prioritize-search-to%20boost-roi/forrester-prioritize-search-whitepaper.pdf?ext=.pdf . dead .
  18. Web site: Schema.org - Schema.org . 2025-02-14 . schema.org.
  19. Web site: An update on the Structured Data Testing Tool Google Search Central Blog . 2024-07-02 . Google for Developers . en.
  20. Web site: The Rich Results Test is out of beta . webmasters.googleblog.com . 2020-08-25.
  21. Web site: Rich Result Tool . www.google.com . 2020-07-28.
  22. Web site: Schema Markup Validator . 2024-07-02 . validator.schema.org.
  23. Web site: Микроразметка — Яндекс.Вебмастер . webmaster.yandex.ru . 2017-07-06.
  24. Web site: Bing - Markup Validator . www.bing.com . 2017-07-06.
  25. Web site: What is Schema Mark Up and How Can it Benefit Your Business . 2019-12-04 . 2021-08-18 . 2021-08-18 . https://web.archive.org/web/20210818230530/https://www.sqdigital.co.uk/seo/what-is-schema-markup-and-how-structured-data-can-benefit-your-business/ . dead.
  26. Web site: Specify your social profiles to Google . Google Developers . 2015-06-25.
  27. Akhtar . Mubashara . Benjelloun . Omar . Conforti . Costanza . Foschini . Luca . Gijsbers . Pieter . Giner-Miguelez . Joan . Goswami . Sujata . Jain . Nitisha . Karamousadakis . Michalis . Krishna . Satyapriya . Kuchnik . Michael . Lesage . Sylvain . Lhoest . Quentin . Marcenac . Pierre . Maskey . Manil . 2024-12-16 . Croissant: A Metadata Format for ML-Ready Datasets . Advances in Neural Information Processing Systems . en . 37 . 82133–82148 . 10.52202/079017-2610 . 979-8-3313-1438-5 . subscription .
  28. Web site: Schemas - Schema.org . 2025-02-14 . schema.org.
  29. Web site: Schema Markup Guide 2025: Boost SEO With Structured Data . 2025-09-04 . ALOKHNATH PS . en.
  30. Web site: Getting Started - schema.org . schema.org . 2017-07-06.