Dynamic Metadata Graph for Flexible Taxonomy Management
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Solution Overview
Problem
Current document management platforms are rigid and inflexible, requiring iterative and often manual efforts to change the taxonomy of document and metadata storage, which is inadequate for managing intensive storage needs and supporting dynamic business processes.
Innovation Solution
A dynamic metadata management system that employs a metadata graph with cognitive capabilities, allowing for hierarchical classification and updating of metadata independently of associated documents, using a cloud-based platform with serverless computing for scalability and flexibility, and providing a distinction between transactional and archival storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current rigid data management platforms are used, then data storage structure is maintained, but taxonomy changes require iterative and manual efforts
Solution Approach 1:
The patent implements a dynamic taxonomy system where the metadata schema can be modified without requiring iterative manual efforts. The system allows runtime additions and modifications to metadata fields and hierarchies, enabling the taxonomy to adapt flexibly to changing business requirements while maintaining data integrity through automated validation rules.
Solution Approach 2:
The system enables parameter changes in the metadata schema by allowing dynamic modification of field definitions, data types, and hierarchical structures. This permits the taxonomy to evolve by changing its structural parameters without requiring complete system reconfiguration or manual iterative updates.
2Adaptability or versatility
If monolithic document management platforms are used, then comprehensive document handling is provided, but business-specific capabilities are limited
Solution Approach 1:
The patent segments the document management system into distinct functional layers: a core platform providing comprehensive document handling capabilities, and customizable business-specific modules that can be independently configured and deployed. This segmentation allows organizations to utilize only the business-specific capabilities they need while leveraging the robust core platform.
Solution Approach 2:
The system implements a universal core platform that provides multi-functional document handling capabilities applicable across all business units. This core platform supports multiple business-specific implementations through configurable metadata schemas and workflows, enabling one platform to serve diverse business needs without requiring separate systems.
3Productivity
If traditional metadata storage is used, then document metadata is stored, but search and retrieval efficiency is reduced
Solution Approach 1:
The patent introduces a hierarchical dimension to metadata storage and retrieval, organizing metadata into multi-level taxonomies with parent-child relationships. This dimensional organization enables efficient searching by allowing queries to traverse the hierarchy at different levels, improving retrieval efficiency while maintaining complete metadata accessibility through the structured relationships.
Data Source
AI summary
A system, server device, and method are provided for managing document metadata. The method includes storing metadata in a graph separately from documents with which the metadata is associated and connecting metadata in the graph according to a hierarchy, with each node of the graph being classified based on metadata content. The method also includes assigning properties to edges in the graph connecting the nodes; receiving, via a communications module, an instruction to update the metadata; and dynamically updating at least one edge or node in the graph according to the instruction without requiring access to an associated document. The method also includes receiving, via the communications module, an inquiry related to a document; and responding to the inquiry, via the communications module, after accessing metadata associated with the document by navigating the graph.