Schema.org 结构化数据生成器
Generates JSON-LD structured data markup for articles, products, FAQs, and how-to pages using Schema.org vocabulary. Validates output against Google Rich Results Test API and SchemaValidator.org endpoints.
Installation
Requirements and caveats from upstream:
- Essentially you will need to have a Linux-like (inc Mac) environment loaded with Python version 3.6 or above. You can then make test builds of Schema.org running on your own machine accessible as http://localhost:8080...
- If you work primarily on Windows, use the Windows Subsystem for Linux (WSL2) or another POSIX-like environment to follow these commands. WSL2 provides the required tooling (Python, make, git) and matches the paths ref...
Basic usage or getting-started notes:
- allow for independent extension (for example, see GS1's vocabulary).
- We sometimes introduce types without dedicated property associations, simply for markup usability reasons. In a formal ontology, this is often considered poor modeling. However, logically equivalent structures can res...
- There are many other projects developing schemas and ontologies for the Web, e.g. Wikidata or the vocabulary projects in the Linked Data community. Man...
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/schemaorg/schemaorg/HEAD/README.md
Documentation
- https://schema.org/docs/schemas.html
