Enterprise Content Management Correlated Item Merging
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Solution Overview
Problem
Content management systems, such as ECM systems, face inefficiencies in searching and accessing large numbers of content items due to the lack of mechanisms to merge or organize correlated content into single items or virtual structures, leading to time-consuming and resource-intensive operations.
Innovation Solution
Implementing a correlated content organizing technique that dynamically merges multiple correlated content items into a single item or organizes them into folios based on metadata, using a smart content organizer to automate the process and improve access efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple correlated content items are stored as separate items in the ECM system, then content storage capacity and flexibility are improved, but search time and resource consumption increase significantly
Solution Approach 1:
The patent merges multiple correlated content items into a single virtual content item by creating a composite structure that aggregates related documents, images, or data objects. This virtual item maintains the individuality of source items while presenting them as a unified search result, thereby reducing search time without sacrificing storage capacity or content flexibility.
Solution Approach 2:
The patent segments the search and access process into two levels: the physical storage level where individual content items remain separate for capacity and flexibility, and the virtual presentation level where correlated items are merged into single accessible units. This segmentation allows the system to maintain both high storage capacity and efficient search performance.
2Productivity
If content items are manually organized into virtual structures, then access efficiency is improved, but system complexity and manual labor increase
Solution Approach 1:
The patent implements self-service by enabling the ECM system to automatically detect correlations between content items based on metadata attributes such as author, date, or content type. The system autonomously creates virtual structures without requiring manual intervention, thereby improving access efficiency while avoiding the complexity of manual organization processes.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors content metadata and automatically adjusts virtual structure creation based on correlation patterns. This feedback loop enables the system to learn from content relationships and optimize virtual organization dynamically, improving access efficiency without increasing operational complexity.
3Measurement precision
If search operations are performed on each individual content item, then search precision is maintained, but processing resources and time consumption increase
Solution Approach 1:
The patent merges multiple content items into virtual structures that can be searched and processed as single units. This aggregation reduces the total number of individual search operations required while maintaining search precision through the preservation of correlated metadata relationships. Processing resources are consumed more efficiently as the system operates on virtual items rather than individual content objects.
Data Source
AI summary
Described herein are systems and methods for providing a correlated content organizing technique in a content management system. In accordance with an embodiment, the systems and methods discussed herein provide the ability to dynamically merge multiple correlated (where dependency is derived from each content item's metadata set) content items into one single content item/document and/or organize them into a single folio for ease of future access. For example, when a user performs check-in of a new content item into an ECM application, a smart content organizer agent can find correlated and/or dependent content items and attempt to merge both content items into one single content item. This can enable all the correlated content items to exist as one single document/item in an ECM application, with the benefit of providing increased ease of accessing correlated and/or dependent content item(s) in a shorter amount time.