Dynamic Enterprise Workspace Content Injection via Contextual Search
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Solution Overview
Problem
Enterprise workspaces are hindered by their static nature and administrative burdens due to multiple permissions and roles, limiting agility in adapting to changing business conditions.
Innovation Solution
Implementing search-, context-, and rule-based methods for dynamic workspace creation and runtime adaptation, allowing for the identification and categorization of data artifacts, injection into content galleries, and presentation on enterprise workspace pages, enabling dynamic content creation and modification based on contextual search results and defined rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enterprise workspace pages use static content with multiple permissions and roles, then security and access control are maintained, but administrative time and complexity increase significantly
Solution Approach 1:
The system automatically performs content injection, categorization, and workspace page updates based on contextual search results and defined rules, eliminating the need for manual administrative intervention. The workspace dynamically adapts its content and structure without human intervention, allowing the system to serve itself in maintaining and updating its own configuration.
Solution Approach 2:
The patent transforms static workspace pages into dynamic ones that automatically adapt based on contextual information. The workspace structure and content are no longer fixed but continuously update based on search results, rules, and contextual parameters, allowing the system to respond automatically to changing conditions without administrative overhead.
2Manufacturing precision
If enterprise workspace pages are updated manually to adapt to changing business conditions, then content accuracy is maintained, but agility and response time decrease
Solution Approach 1:
The system continuously searches for contextual information and uses defined rules to automatically update workspace content based on current business conditions. This feedback loop ensures content remains accurate and relevant without manual intervention, as the system monitors and adapts to changing conditions in real-time.
Solution Approach 2:
The system pre-defines rules and criteria for content updates, so when contextual changes occur, the appropriate actions are already determined and can be executed immediately. This preliminary preparation enables rapid response to business condition changes while maintaining content accuracy through pre-established validation rules.
3Stability of the object's composition
If enterprise workspaces use fixed content structure, then system stability is maintained, but adaptability to new requirements is reduced
Solution Approach 1:
The patent implements dynamic workspace pages that automatically restructure and reconfigure based on contextual search results and defined rules. The content structure transitions from fixed to flexible, allowing the workspace to adapt its composition dynamically while maintaining operational stability through rule-based control mechanisms.
Solution Approach 2:
The system changes key parameters of the workspace structure dynamically based on contextual information. By adjusting content categories, injection points, and structural organization according to search results and rules, the workspace maintains stability through controlled parameter changes rather than fixed rigid structure.
4Manufacturing precision
If administrative personnel manually manage workspace content, then content quality control is improved, but time consumption and operational cost increase
Solution Approach 1:
The system automatically performs content injection, categorization, and quality control through defined rules and contextual analysis. Administrative personnel are eliminated from the content management process entirely, as the system self-manages content quality through automated rule-based validation and contextual relevance assessment.
Solution Approach 2:
The patent replaces manual administrative mechanics with automated computational processes. Instead of human administrators reviewing and managing content, the system uses contextual search algorithms and rule-based engines to automatically ensure content quality, eliminating the mechanical process of manual review while maintaining or improving quality standards.
Data Source
AI summary
The disclosure generally describes computer-implemented methods, software, and systems for search-, context-, and rule-based creation and runtime adaptation in dynamic workspaces. One computer-implemented method includes identifying a data artifact associated with each search result of at least one received search result, associating each identified data artifact with a module category of a plurality of module categories, injecting the identified artifacts into a content gallery, categorize, by operation of at least one computer, the injected identified artifacts within the content gallery, presenting at least a subset of the injected identified artifacts on an enterprise workspace page associated with an enterprise workspace, and constructing a context associated with at least one of the enterprise workspace or the enterprise workspace page.