Content Distribution Network for Local Business Data
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Solution Overview
Problem
Organizations face challenges in managing and distributing accurate local business information due to data becoming stale over time, differing standards and formats, and the burden of managing multiple data sources independently, which hinders the efficient sharing and broadcasting of content across various platforms.
Innovation Solution
A content distribution network system that enables organizations to share and manage multiple feeds of content while keeping information private, using a universal content interface to map repositories to a common meta structure, allowing for automatic updates and integration of content across different schema, and facilitating content creation, management, and transaction tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If organizations manage their local data independently with their own formats and standards, then each organization can maintain control over its data, but it becomes difficult to distribute information to all simultaneously and prevents creators from broadcasting content to multiple organizations
Solution Approach 1:
The patent introduces a content distribution network as an intermediary layer between content creators and multiple subscribing organizations. This network receives content in various formats from creators, standardizes it according to predefined schemas, and then distributes it to multiple organizations simultaneously. The intermediary handles the complexity of format conversion and distribution logistics, allowing creators to broadcast once while reaching multiple audiences without each organization needing independent integration with every creator.
Solution Approach 2:
The content distribution network implements universal interfaces and standardized data schemas that can accommodate multiple content formats and organization types. The system design allows a single content item to be distributed to multiple different organizations with different requirements through a unified distribution mechanism, making the system versatile across different domains and organizations while maintaining controlled complexity through standardization.
2Productivity
If organizations use different standards and formats for local data, then each organization can optimize for its specific needs, but it creates fragmentation that makes simultaneous information distribution difficult
Solution Approach 1:
The patent employs parameter transformation by converting content from various source formats into standardized intermediate representations defined by the content distribution network. The system maintains flexibility by allowing different input parameters (formats, schemas) while enforcing standardized output parameters for distribution. This parameter transformation approach enables efficient simultaneous distribution to multiple organizations while preserving the ability to handle diverse source formats through automated conversion processes.
3Reliability
If information is updated frequently to maintain accuracy, then data remains current and valuable, but the resources required to stay up-to-date become extensive
Solution Approach 1:
The content distribution network implements preliminary validation and standardization processes that check and normalize content before it enters the distribution system. By performing these checks upfront rather than continuously during distribution, the system ensures accuracy while minimizing ongoing resource requirements. The preliminary action includes format validation, schema compliance checking, and initial processing that reduces the need for continuous resource-intensive updates and verification across the entire distribution network.
Data Source
AI summary
The present disclosure relates to a system and method for providing a content distribution network. In an embodiment, the system and method helps organizations share content as a content source, and manage multiple feeds of content from various other content sources, keeping specific information private while integrating shared updates. For example, the content may be local business information kept by numerous different organizations for their own locality. By sharing this location information through a shared content distribution network, the organizations are able to update the location information of their users and obtain a higher quality of data. In an embodiment, an organization may prioritize the content in a private feed in order to override crowd sourced external data.