Semantic Metadata Integration for Cross-Asset Catalog Consistency
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Solution Overview
Problem
Existing asset management systems lack a unified structure for data stored across disparate storage assets, leading to inconsistent data structures and access mechanisms, and asset management catalogs rely on external information for label definitions, which are not self-defining.
Innovation Solution
Integrate structural and semantic information into asset management catalogs using a unified modeling language (UML) metamodel to generate data entries that represent the structure and metadata of data storage assets, enabling consistent representation and correlation of data across assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data structures are designed and governed independently for each storage asset, then each asset can be managed autonomously by disparate groups, but the data structures become inconsistent and lack a unified representation across assets
Solution Approach 1:
The patent applies universality by creating a unified asset management catalog that serves multiple storage assets with different data structures. The catalog uses a standardized labeling system with predefined formats and semantic definitions that can universally represent diverse data structures across disparate storage assets, allowing one catalog system to manage multiple assets autonomously while maintaining consistency.
Solution Approach 2:
The asset management catalog acts as an intermediary layer between disparate storage assets and users. It translates various data structures into a unified representation through standardized labels and metadata, enabling consistent access and management without requiring changes to the underlying storage assets or their independent data structures.
2Device complexity
If asset management catalogs use predefined label formats or simple names, then the catalog implementation is simple, but the labels are not self-defining and rely on external information
Solution Approach 1:
The patent applies the nested doll principle by creating hierarchical metadata structures where labels contain nested layers of information. Each label has a predefined format (outer layer) for simplicity, but also includes semantic definitions, descriptions, and contextual metadata (inner layers) that make the labels self-defining. This nested structure allows the catalog to remain simple while embedding rich self-descriptive information within the labels themselves.
Data Source
AI summary
Integration of semantic information into an asset management catalog (e.g., using a computerized tool), is enabled. For example, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: based on structure data representative of a structure of data stored in a data storage asset, determining semantic metadata applicable to the data stored in the data storage asset, in response to determining the semantic metadata, generating a data entry, applicable to the semantic metadata, to be added to an asset management catalog associated with the data storage asset, and in response to generating the data entry, associating the data entry with the data stored in the data storage asset.