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Publication Number
US-12711124-B2
Publication Date
2026-08-18
Expiration Date
Abstract
Techniques for validating and modifying file records are disclosed. A reference specification is obtained, indicating valid data labels and data points, where each data point is classified into a data label. A semantic assessment is performed between a file record and the reference specification to determine semantically conforming data descriptors and data labels. It is then determined whether aspects of data elements associated with the data descriptors conform with correlated aspects of data points linked to the data labels. Based on the determination, a data modification workflow is triggered to transform non-conforming aspects of data elements. The file record is subsequently modified to include the transformed data elements. The present subject matter may enable automated validation and modification of file records to ensure conformity with the reference specification.
Core Innovation
The invention describes a system, method, and non-transitory computer-readable medium for validating a file record against a reference specification. The file record contains data descriptors associated with data elements, while the reference specification identifies valid data labels and valid data points. Semantic representations and similarity scores map descriptors to labels and linked data points.
The validation checks whether aspects of associated data elements, including format, conform to correlated aspects of linked data points. Nonconforming aspects are transformed, and the file record is modified and rendered with the transformed data elements. A modification indicator distinguishes transformed elements, and a feedback option permits acceptance or rejection, with described examples including fields for name, date, country, and sale amount.
Claims Coverage
The claims include three independent claims, comprising three inventive features across system, method, and non-transitory computer-readable medium implementations.
System for validating and modifying a file record
The processor obtains a reference specification, parses data descriptors and data labels to determine semantic representations, computes similarity scores, and identifies descriptor-label pairs using a threshold similarity score. It checks whether aspects of associated data elements conform to correlated aspects of linked data points, triggers a data modification workflow to transform nonconforming aspects, and modifies the file record to include transformed data elements.
Method for validating and rendering a modified file record
The method obtains a reference specification derived from a configuration file, semantically matches data descriptors with data labels, and maps descriptors to data points. It determines whether aspects of associated data elements conform to correlated aspects, transforms those aspects based on the correlated aspects, and generates a data representation signal to render the modified file record.
Computer-readable medium for semantic validation and transformation
The instructions determine semantic scores for data descriptors relative to reference-specification labels, identify semantically matching descriptors, and assess whether associated data-element aspects conform to correlated aspects of linked data points. The instructions trigger transformation, modify the file record to include transformed data elements, and cause the modified file record to be rendered.
The three independent claims cover system, method, and computer-readable medium implementations of semantic file-record validation, conformity checking against a reference specification, and transformation and rendering of data elements.
Stated Advantages
Adaptable validation.
Improved downstream compatibility.
Reduced manual correction and processing errors.
Documented Applications
Validation of file records against a reference specification containing valid data labels and valid data points, including modification and rendering of records with data elements transformed to conform to correlated aspects of linked data points across fields such as name, date, country, and sale amount.
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