schemaorg/schemaorg

Features

• Vocabulary Structural Organization - Provides a vocabulary of types and properties embedded in HTML to describe entities for rich search results.
• Schema Vocabulary Extensions - Provides a formal extension mechanism for adding custom types and properties to the core vocabulary.
• Schema Extensions - Adds custom types and properties to the core schema through formal extension mechanisms for domain-specific needs.
• JSON-LD Structured Data - Embeds machine-readable metadata into web pages using JSON-LD, Microdata, or RDFa for search engines.
• News Classifications - Marks articles, broadcasts, and fact-checks with specialized schema types for precise categorization and rich search display.
• Multi-Format Serializers - Provides multi-format serialization of structured data into RDFa, Microdata, and JSON-LD from a single vocabulary.
• Structured Content Indexers - Adds machine-readable metadata to web pages so search engines can interpret and display content intelligently.
• Markup Schemas - Coordinates a cross-industry vocabulary of markup schemas supported by major search engines.
• Healthcare Data Structuring - Represents health-related content and hospital reporting metrics using specialized schema types for interoperable data exchange.
• Search Engine Schemas - Provides a shared vocabulary supported by major search engines to standardize how web content is described in search results.
• Message Fact Verification - Provides a dedicated schema type for tagging fact-check evaluations of claims or articles.
• Multiple Inheritance - Defines a type hierarchy where types can inherit from multiple parent types simultaneously.
• Vocabulary Extension Mechanisms - Defines the core mechanism for extending the schema vocabulary with new terms.
• RDF Resource Modeling - Provides an RDF-based schema with downloadable definitions in multiple formats for semantic web applications.
• Multi-Domain Property Definitions - Defines the core property system where properties can be reused across multiple entity types.
• Structured Data Markups - Embeds machine-readable metadata into web pages so search engines can display richer results and understand page content.
• Structured Data Vocabularies - Provides an open, cross-industry vocabulary for marking up web content with machine-readable metadata for rich search results.
• Independent Vocabulary Extensions - Supports custom extensions to the core schema using JSON-LD, Microdata, or RDFa without modifying the central vocabulary.
• Schema Term Proposals - Allows submitting suggestions for new types, properties, and refinements through a public issue tracker.
• Aggregate Statistical Observations - Models statistical observations about entity populations to integrate data from multiple independent sources.
• Release Snapshots - Publishes dated vocabulary snapshots with machine-readable definitions for precise version tracking.
• Cross-Vocabulary Interoperability - Combines with other schemas like Dublin Core within JSON-LD or RDFa using pre-declared prefixes for cross-vocabulary expressivity.
• Downloadable Schema Definitions - Provides the core schema and extension definitions as downloadable files for offline use or integration.
• RDF Vocabulary Distributions - Provides the full vocabulary in common RDF formats for use in applications and tools.
• Domain-Specific - Extends the core schema set through a documented extension model to cover domain-specific entities and relationships.
• Vocabulary Release Versioning - Publishes incremental releases with dated snapshots and machine-readable definitions for precise version tracking.
• Structured Append Data Encoders - Supports encoding structured data using RDFa, Microdata, or JSON-LD for different publishing environments.
• Multi-Domain Property Definitions - Defines properties with multiple domain and range types for flexible association with different entity types.
• Ordered Collections - Supports RDF Lists, Seq, Bag, and Alt containers to preserve order or grouping of property values.
• Improvement Proposal Repositories - Provides a public issue tracker and release process for submitting schema improvement proposals.
• Structured Data Format Encoders - Supports encoding structured data using RDFa, Microdata, or JSON-LD for different publishing environments.
• Canonical Entity Identifiers - Provides identifier properties to attach canonical or alternative IDs to described items in structured data.
• Custom Property Annotations - Uses PropertyValue and Role mechanisms to embed arbitrary key/value pairs within descriptions without altering the core vocabulary.
• Multi-Value Property Representations - Represents multiple values for a property as unordered sets with support for ordered lists and containers.
• Vocabulary Distribution Files - Distributes the full schema as downloadable RDF files for offline use and tool integration.
• Type Hierarchies - Provides a complete tree of schema types in a single view to understand relationships between entities.
• Experimental Vocabulary Terms - Introduces new vocabulary terms under a pending label for community testing before promotion.
• JSON-LD Generators - Embeds machine-readable JSON-LD term definitions directly into HTML pages for programmatic vocabulary access.

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