pydantic_schemaorg VS schemaorg

JSONLD types are specified with @type, and the range of a @type attribute includes rdfs:Class.

icontract and pycontracts (contracts-based programming) have runtime type and constraint checking; data validation. Precondition, Command, Postconditions (assertions, assertions of invariance after command C_funcname executed)

pydantic_schemaorg: https://github.com/lexiq-legal/pydantic_schemaorg

> Pydantic_schemaorg contains all the models defined by schema.org. The pydantic classes are auto-generated from the schema.org model definitions that can be found on https://schema.org/version/latest/schemaorg-current-https.js... [ https://github.com/schemaorg/schemaorg/tree/main/data/releas... ]

itemscope itemtype="https://schema.org/Person"> itemprop="name">Scott Nath Work History itemprop="alumniOf" itemscope itemtype="https://schema.org/Organization"> itemprop="name">Company ABC itemprop="description">...company description... itemprop="employee" itemscope itemtype="https://schema.org/EmployeeRole"> itemprop="roleName">Software developer itemprop="description">...details about role... itemprop="alumniOf" itemscope itemtype="https://schema.org/Organization"> itemprop="name">Company Meow itemprop="employee" itemscope itemtype="https://schema.org/EmployeeRole"> itemprop="roleName">Sitting Volunteer History itemprop="alumniOf" itemscope itemtype="https://schema.org/Organization"> itemprop="name">Company 501c3 itemprop="employee" itemscope itemtype="https://schema.org/EmployeeRole"> itemprop="roleName">Software developer for free itemprop="description">...details about role...

I've been re-writing the HTML of my site and added structured data, in the form of microdata attributes, following the Schema.org vocabulary set. Structured data can be understood by search engines and other machines, giving your content structure and context.

Implementing Structured Data Markup annotation system, which can provide additional context about the content to search engines. Structured data markup such as Schema.org can be used to aid search engines to understand the content relevance and significance. This approach can help improve search results by improved ranking and visibility of the content.

export default async function Page({ params }) { const product = await getProduct(params.id); const jsonLd = { "@context": "https://schema.org", "@type": "Product", name: product.name, image: product.image, description: product.description, }; return ( {/* Add JSON-LD to your page */} {/* ... */} section> ); }

const Article = () => { // Dummy article data const article = { title: 'Sample Article Title', description: 'This is a sample article description.', datePublished: '2024-03-23', author: { "@type": "Person", "name": "John Doe" }, image: "https://via.placeholder.com/800x400", publisher: { "@type": "Organization", "name": "Sample News", "logo": { "@type": "ImageObject", "url": "https://via.placeholder.com/200x100" } }, mainEntityOfPage: { "@type": "WebPage", "@id": "https://www.example.com/article" } }; // Define the JsonLd component within the Article component const JsonLd = ({ data }) => ( ); return ( <div> <h1>{article.title}h1> <p>{article.description}p> <p>Date Published: {article.datePublished}p> <p>Author: {article.author.name}p> <img src={article.image} alt={article.title} /> {/* JSON-LD for Article */} <JsonLd data={{ "@context": "https://schema.org", "@type": "NewsArticle", "headline": article.title, "description": article.description, "datePublished": article.datePublished, "author": article.author, "image": [article.image], "publisher": article.publisher, "mainEntityOfPage": article.mainEntityOfPage }} /> div> ); }; export default Article;

itemscope itemtype="http://schema.org/Product"> itemprop="name">Product Name itemprop="description">Product Description itemprop="review" itemscope itemtype="http://schema.org/Review"> itemprop="reviewRating" itemscope itemtype="http://schema.org/Rating"> itemprop="ratingValue">5 stars itemprop="author" itemscope itemtype="http://schema.org/Person"> itemprop="name">Author Name itemprop="datePublished">Date of Review itemprop="reviewBody">Review Body

You can use Schema.org to generate JSON-LD Schema for your website.

It’s also very much still a thing rebranded as Microdata. You can find examples on Schema.org, but now there are easier ways to share the same info; I prefer JSON-LD.

Schema.org provides a shared vocabulary that webmasters can use to mark up their pages in ways that can be understood by major search engines, including Google, Bing, Yahoo!, and Yandex.