Information Landscape Validation for Project Accuracy
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Solution Overview
Problem
Information integration projects are complex and require constant maintenance to ensure accuracy, but current manual processes are time-consuming, resource-intensive, and prone to errors, leading to outdated and inaccurate information.
Innovation Solution
A computer-implemented method and system that generates and validates an information landscape by linking topology elements to solution artifacts and requirements, using a palette of landscape elements, and displaying a graphical representation of the solution sketch based on a specified viewpoint, with validation operations performed by computer processors to ensure accuracy and adequacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual maintenance processes are used to maintain information landscape documents, then the documents can be kept updated, but the process requires significant time and resources and is error-prone
Solution Approach 1:
The system enables self-service through automated validation where the information landscape model automatically validates itself against stored constraints and rules. The validation process checks consistency, completeness, and adequacy of solution components without requiring manual intervention, allowing the system to maintain and update itself autonomously.
Solution Approach 2:
The patent replaces manual mechanical maintenance processes with automated computational validation. Computer processors execute validation algorithms that automatically check the information landscape model against stored constraints, replacing the need for manual review and updating processes.
2Reliability
If manual maintenance processes are used to maintain information landscape documents, then the documents can be kept updated, but the process is very error-prone
Solution Approach 1:
The system implements feedback through automated validation that continuously checks the information landscape model against stored constraints and rules. The validation process provides immediate feedback on inconsistencies, completeness issues, and adequacy problems, allowing errors to be detected and corrected systematically rather than through error-prone manual processes.
Solution Approach 2:
The system enables self-service through automated validation where the information landscape model automatically validates itself against stored constraints and rules. The validation process checks consistency, completeness, and adequacy of solution components without requiring manual intervention, allowing the system to maintain and update itself autonomously.
3Measurement precision
If comprehensive validation of solution artifacts and semantics is performed, then information accuracy is ensured, but computational resources and time are required
Solution Approach 1:
The validation process is segmented into distinct modular operations: syntax validation, semantics validation, consistency validation, completeness validation, and adequacy validation. Each validation type operates independently on specific aspects of the information landscape model, allowing computational resources to be distributed across multiple specialized validation routines rather than one monolithic process.
Solution Approach 2:
The system performs preliminary action by storing validation constraints and rules in advance in the information landscape model. These pre-defined constraints enable automated validation to proceed efficiently by checking against predetermined criteria rather than requiring complex real-time analysis during validation execution.
Data Source
AI summary
Managing and validating a project using an information landscape. Embodiments include providing an information landscape including a topology of landscape elements for the project, linking the topology of landscape elements to a plurality of solution artifacts, and validating at least one of the plurality of solution artifacts and semantics of the information landscape.