Local Agent for Project Resource Tagging and History
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In project management, there is a challenge in maintaining organized access to critical project information, particularly changes made to digital resources over time, as they originate from diverse sources and types, making it difficult to understand decision-making processes post-project completion.
Innovation Solution
A computer-implemented method using a local agent to determine project-relevant digital information through recognition tags, extracting additional tags as needed, and storing this information in a data repository to create a modification history, allowing for the tracking of changes and decision rationale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital resources are collected from multiple sources during a project, then the information framework becomes comprehensive, but organizing and tracking changes across diverse types becomes difficult
Solution Approach 1:
The patent segments the complex task of managing diverse digital resources by introducing a local agent that operates independently at each computing entity. This agent segments the information collection process, filtering and tagging resources locally before centralization, thereby reducing the organizational complexity at the system level while maintaining comprehensive information gathering.
Solution Approach 2:
The local agent serves as an intermediary between diverse digital resources and the central repository. It mediates the complexity by automatically tagging resources with recognition tags and creating modification history records, thus simplifying the interface between heterogeneous sources and the organized storage system.
2Loss of information
If all digital information is stored for future review, then complete project history is available, but retrieving and understanding decision rationale becomes difficult
Solution Approach 1:
The system performs preliminary action by automatically creating structured modification history records at the time of resource creation or modification. The local agent pre-tags resources with recognition tags and documents changes before review is needed, making future analysis easier without requiring manual organization later.
Solution Approach 2:
The patent transforms unstructured digital resources into structured data by applying recognition tags and modification history parameters. This parameterization converts diverse file types and formats into a standardized format that is easier to query, filter, and understand, while preserving complete project history.
3Loss of information
If manual tracking of resource changes is implemented, then detailed modification history is captured, but the overhead of maintaining organization increases significantly
Solution Approach 1:
The local agent implements self-service by automatically monitoring, tagging, and recording modifications to digital resources without human intervention. It autonomously creates modification history records and manages recognition tags, eliminating the need for manual tracking while capturing detailed change information.
Solution Approach 2:
The patent replaces manual mechanical tracking processes with an automated software agent. The local agent uses computational methods to monitor resource changes, extract recognition tags, and maintain modification history, substituting human effort with automated information processing that is both detailed and efficient.
Data Source
AI summary
A computer-implemented method for providing a modification history of digital information associated with a project is disclosed. A local agent runs at a computing entity at least temporarily associated with a user. A list of recognition tags is provided. A determination is made by the local agent whether digital information is associated with a project based on the list of recognition tags in order to establish project-relevant information. One or more additional recognition tags are automatically extracted out of the project-relevant information. The one or more additional recognition tags are added to the list of recognition tags. The project-relevant information or information derived from the project-relevant information is stored in a data repository. Modification history information is created regarding the project-relevant information.