schemaorg VS resume-schema

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.

Using JSON Resume with the jsonresume-theme-microdata theme will create a resume documented with microdata following the Schema.org vocabulary set.

Another essential workflow involves the automatic generation of a CV file, which is based on a resume.json file. JSON Resume stands as an open standard format, designed for crafting and sharing resumes or CVs in a structured and machine-readable manner. It harnesses the power of JSON to delineate various resume sections, encompassing personal details, educational background, work experience, skills, and more. JSON Resume empowers individuals to maintain a single source of truth for their professional history while facilitating the creation of customized resumes in diverse formats like HTML, PDF, or plain text. This versatility is bolstered by the availability of various themes and templates, ensuring a visually appealing and unique CV while preserving data in an organized format. This format's adaptability and developer-friendly nature have made it a preferred choice among tech-savvy individuals who aim to craft compelling resumes that stand out. JSON Resume also fosters open-source collaboration, enabling users to contribute themes and tools to the community. This collaborative approach ensures ongoing enhancements and personalization of resumes in a standardized fashion.

While starting to apply for some programming jobs I came across jsonresume (https://jsonresume.org/), which seems awesome in theory... It lets me keep my updated resume checked into a GitHub repo and easily drop it into an html template.

Really nice.

Two thoughts:

- generation of machine readable output too, jsonresume for example (https://github.com/jsonresume/resume-schema)