Metadata Structure Replication Using Identity and Similarity Mapping
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Solution Overview
Problem
Manual maintenance of metadata structures between different servers in a content management system is laborious and prone to errors, especially in multiserver environments, where synchronizing and harmonizing metadata across multiple vaults is complex and time-consuming.
Innovation Solution
A method and system for replicating metadata structures between servers using similarity and identity mapping rules, where structure elements are mapped based on common names and globally unique identifiers, enabling automated import and synchronization of metadata and content elements, thereby streamlining the process across multiple servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual maintenance of metadata structures is used between different servers, then flexibility and control over metadata structures are maintained, but labor intensity increases and error susceptibility rises
Solution Approach 1:
The patent implements automated copying of metadata structures from source servers to target servers using mapping rules. Structure elements are copied with identity mapping (preserving exact identifiers) or similarity mapping (matching based on semantic equivalence), eliminating manual copying efforts while ensuring consistency across servers.
Solution Approach 2:
The system performs self-service metadata synchronization by automatically detecting structure elements, applying mapping rules, and transferring metadata without human intervention. The servers autonomously harmonize their metadata structures through the implemented mapping mechanisms, reducing both time and error rates.
2Productivity
If automated metadata structure replication is implemented, then synchronization efficiency improves and manual labor decreases, but system complexity increases due to mapping rules
Solution Approach 1:
The metadata structure is segmented into discrete structure elements that can be independently mapped and transferred. Each structure element can be handled separately through identity or similarity mapping, making the complex synchronization process manageable and scalable without overwhelming system complexity.
Solution Approach 2:
The mapping rules serve multiple functions: they enable both identity mapping for exact matches and similarity mapping for semantic equivalences, handle different metadata formats, and work across multiple server types. This universal approach simplifies the overall system by using a single flexible mechanism rather than multiple specialized processes.
3Reliability
If identity mapping is performed for fully represented structure elements, then metadata consistency is ensured, but processing time increases compared to simple copying
Solution Approach 1:
The system applies partial action by using identity mapping only when necessary for fully represented structure elements, while using simpler similarity mapping for referenced elements. This selective approach ensures consistency where required without unnecessarily slowing down the entire synchronization process.
Data Source
AI summary
The invention relates to a method for replicating metadata structure of a target server according to metadata structure of a source server. The method comprises importing the metadata structure of the source server to the target server, wherein the metadata structure defines by means of structure elements semantics for a metadata, which metadata is associated with electronic objects being stored in said source server; mapping the structure elements to corresponding structure elements in the target server according to mapping rules, wherein similarity mapping is performed for referenced structure elements and identity mapping is performed for fully represented structure elements; and copying content elements—if available—containing at least electronic objects with associated metadata from the source server to the target server by applying the imported metadata structure.