science

Schema.org

Schema.org is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Schema.org rather than just read about it. In short: 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.

Schema.org — illustration

Key takeaways

Schema.org belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Schema.org to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Schema.org from memory before moving on to harder problems.

Reference excerpt

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. 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! (operators of the world's largest search engines at that time) 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. They propose using the schema.org vocabulary along with the Microdata, RDFa, or JSON-LD formats 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. In 2012, the GoodRelations ontology was integrated into Schema.org. Public discussion of the initiative largely takes place on the W3C public vocabularies mailing list. Much of the vocabulary on Schema.org was inspired by earlier formats, such as microformats, FOAF, and OpenCyc. 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. In 2015, Google began supporting the JSON-LD format, and as of September, 2017 recommended using JSON-LD for structured data whenever possible. 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 across industries showing only 17% uptake. As of 2024 over 45 million web domains have used schema markup on their web pages. Validators, such as the deprecated Google Structured Data Testing Tool, or more recent Google Rich Results Test Tool, Schema.org Markup Validator, Yandex Microformat validator, and Bing Markup Validator 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. Some schema markups such as Organization and Person are commonly used to influence search results returned by Google's Knowledge Graph. 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.

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 June 2026, there are over 823 schema types. There are a number of subjects and elements that a web page can be marked up with using a Schema, with examples including:

Article Breadcrumb Course Event FAQ LocalBusiness Logo Movie Product Recipe Review Video Book Clip Contactpoint HowTo Offer

Examples

Microdata The following is an example 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.

RDFa 1.1 Lite

JSON-LD

Schema.org Usage Statistics In June 2026, the Google and Schema.org community announced schema.org usage statistics for the first time. It was published publicly in the official Schema.org GitHub repository in CSV and JSON formats. Schema.org invited other crawlers and indexers to contribute their own statistics to this initiative using the same open format. This dataset is updated monthly and shows Schema.org term usage across millions of domains. To respect privacy, the counts are aggregated at the domain level and presented in popularity-range buckets.

References

External links Official website schemaorg on GitHub Schema.org usage statistics dataset (official Schema.org GitHub repository )

Worked examples

Example 1 — a first encounter with Schema.org

Start with the simplest possible case. Write down what Schema.org claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Schema.org before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Schema.org ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Schema.org

In research: Schema.org appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Schema.org in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Schema.org is common in secondary-school and first-year university syllabi. It links to neighbouring topics Google, HTML5, Information science, so understanding it makes those chapters shorter.
In everyday life: Look for Schema.org outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Schema.org” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Schema.org in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Schema.org means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Schema.org out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Schema.org in simple terms?

Why does Schema.org matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Schema.org?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Schema.org.