Media Data Optimization Engine for Multilingual Schema Markup

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems fail to effectively generate and harness structured data for media content on websites, such as images, audio, and videos, to enhance search engine optimization, particularly for multilanguage websites, leading to inadequate indexing and reduced web traffic.

Innovation Solution

An automated system and method using a media data optimization engine (MDOE) that identifies, translates, and transforms non-textual objects into structured data objects, applying schema codes like JSON-LD, Microdata, and RDFa to dynamically optimize electronic documents for search engines, ensuring relevant content is indexed and promoted.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If schema markup is deployed on webpages, then search engine optimization is improved, but implementation complexity increases

Engineering Contradiction:

Improvesearch engine optimizationVSAvoidimplementation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically generates and implements schema markup without requiring manual intervention from website administrators. The automated system crawls the website, identifies media content, generates appropriate schema codes, and deploys them to webpages, eliminating the need for manual SEO optimization work while maintaining high search engine optimization effectiveness

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an automated system as an intermediary between website content and search engines. This system acts as a mediator that automatically translates website media content into structured schema markup format, bridging the gap between unstructured content and search engine requirements without direct human involvement

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If structured data is generated for all media content, then indexing quality is improved, but processing time increases

Engineering Contradiction:

Improveindexing qualityVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system focuses on generating structured data for media content specifically (images, videos, audio) rather than attempting to process all content types equally. By concentrating resources on media content which often lacks proper indexing, the system achieves significant indexing quality improvement for the most critical content types without the excessive time cost of processing every element on every webpage

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary analysis of website content to identify media elements that require structured data before generating the schema markup. This preliminary identification step allows the system to prepare and generate structured data for media content in advance, improving indexing quality while managing processing time through efficient content prioritization

Inventive Principle:

Principle #10Preliminary action

3Productivity

If automated system is used to create structured data, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvestructured data creation speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated system is designed to handle multiple content types (images, videos, audio) and generate multiple schema markup formats (JSON-LD, Microdata, RDFa) through a single unified platform. This multi-functional approach consolidates what would otherwise require multiple separate tools or manual processes, improving productivity while managing system complexity through integration rather than multiplication of components

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system replaces manual mechanical processes of schema markup creation with automated computational processes. Instead of manually analyzing content and writing schema codes, the system uses algorithms to automatically crawl, analyze, and generate structured data, dramatically improving productivity while the complexity is contained within the automated system rather than requiring complex manual procedures

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12475176B2Automated system and method for creating structured data objects for a media-based electronic document

Publication Date: 2025.11.18 MEHTA JATIN V

AI summary

A system including a media data optimization engine (MDOE) and a method for automatically creating structured data objects for media content rendered in one or more languages in an electronic document of a business entity are provided. The MDOE identifies non-textual objects including media content rendered in one or more languages in the electronic document and generates textual objects in the corresponding language(s) therefrom. The MDOE transforms the textual objects into structured data objects based on configurable criteria and generates a dynamic index-oriented object for the structured data objects specific to the business entity. The MDOE connects the structured data objects to the dynamic index-oriented object by creating linked data nodes therefrom with the dynamic index-oriented object as a core. The MDOE connects the dynamic index-oriented object with the linked data nodes to the electronic document, thereby facilitating dynamic changes to the electronic document and dynamically optimizing the electronic document.