Cloud Content Management Draft-Published Versioning
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Solution Overview
Problem
Current media content management systems lack the ability to efficiently manage and distribute digital content, particularly in a cloud-based environment, where changes to draft content cannot be made without affecting the published version, and there is no clear mechanism for customizing tables of contents or managing content specific to or independent of collections.
Innovation Solution
A cloud-based media content publishing system that allows for the creation of draft and published versions of content, enabling changes to draft content without affecting the published version, and allows for customization of tables of contents, with content that can be specific to or independent of collections, using a cloud computing system to arrange and provide content to electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single version of content is used, then storage and simplicity are improved, but the ability to edit draft content without affecting published version deteriorates
Solution Approach 1:
The content is divided into separate draft and published versions, allowing independent modification of drafts without affecting published content. The system maintains distinct data structures for draft content and published content, enabling parallel existence and independent manipulation of each version.
Solution Approach 2:
The system creates copies of content at different stages (draft and published versions). When content is published, a copy is made and stored as the published version, while the original can be continued as a draft for further editing. This copying mechanism enables simultaneous existence of different content states.
2Adaptability or versatility
If content is tightly bound to collections, then organization and accessibility are improved, but the ability to distribute content independently deteriorates
Solution Approach 1:
The content distribution system is designed to handle multiple distribution scenarios simultaneously: content can be distributed as part of a collection, independently outside of collections, or selectively to specific devices. The same underlying content infrastructure supports all these different distribution models without requiring separate systems.
Solution Approach 2:
The system allows dynamic reconfiguration of content distribution relationships. Content can be assigned to multiple collections, removed from collections, or distributed independently based on changing requirements. The collection-content relationships are not fixed but can be dynamically adjusted.
3Productivity
If tables of contents are generated automatically, then content organization is improved, but the ability to customize tables of contents deteriorates
Solution Approach 1:
The system automatically generates tables of contents as a preliminary action when content is added to collections. This automatic generation provides an initial organized structure without requiring manual intervention. Users can then build upon this automatic generation by customizing and modifying the tables of contents as needed.
Data Source
AI summary
The present disclosure relates to cloud-based techniques that may be used to manage how digital content is arranged and distributed. For example, a non-transitory, computer-readable medium may include instructions that, when executed, are configured to cause processing circuitry to provide a cloud-based application that maintains an editable draft issue comprising a plurality of draft articles, generate a published issue that has a plurality of published articles corresponding to the plurality of draft articles based on the draft issue, and provide the published issue to one or more electronic devices.