Features

    1    Structured Data Tags

◦    Embeds AI-readable data (e.g., facts, datasets) directly in HTML, simplifying extraction for LLMs and knowledge graphs.

    2    Implicit Learning

    ◦    Provides AI with relationship hints (e.g., causation, correlation) via targets, confidence, direction, enhancing reasoning and graph construction.

    3    Lists and Metadata

    ◦    Supports complex data like sequences and annotations (e.g. lists, metadata, hierarchical/nested data blocks ), enabling richer, contextual data representation.

    4    Nested Blocks

    ◦    Allows hierarchical data structures (e.g., datasets containing facts), increasing flexibility for diverse use cases.

    5    Data Cleaning Attributes (timestamp, expires, hash)

    ◦    Automates removal of outdated or duplicate data, improving AI training data quality.

    6    Extensibility (xs:any, xs:anyAttribute)

    ◦    Permits custom elements/attributes (e.g., custom-attr=”value”), adapting to user-specific needs without schema changes.

    7    Robust Validation (aodm-validator.js)

    ◦    Ensures correct markup with checks for type, hash, confidence, reducing errors in AI pipelines.

    8    Versioning and Priority (version, priority)

    ◦    Tracks schema updates and prioritizes critical data for AI processing, ensuring future-proofing and efficiency.

    9    Format Specification (format)

    ◦    Supports varied data types (e.g., text, json, image), broadening applicability for multimedia or structured data.

    10    CMS Integration (WordPress, Drupal, Joomla, Shopify, Salesforce, and HubSpot)

    ◦    Simplifies adoption via shortcodes/blocks (e.g., [aodm type=”fact”]), making it accessible for non-technical users.

    11    Lightweight Design

    ◦    Minimal overhead (~100-500 bytes per tag, ~16 KB core package), maintaining fast page loads and easy distribution via nesaraq.com.

    12    HTML5 Compatibility

    ◦    Integrates seamlessly with web pages using xmlns:aodm, requiring no additional runtime dependencies for static use.