Electronic Template Generation for Data Extraction Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated data extraction and analysis of content objects face challenges in accurately identifying and processing data elements due to variations in file types, alignments, skews, and zooms, which affect the efficiency and consistency of data processing.
Innovation Solution
A content management system generates electronic templates with segment-position specifications to identify and extract specific data portions from content objects, transforming data to match the template specifications and analyzing pixel intensities to detect responses, while providing tools for quality evaluation and input override.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data extraction is performed on content objects with varying file types, alignments, skews and zooms, then processing efficiency is improved, but measurement precision of data element positions deteriorates
Solution Approach 1:
The patent transforms content objects by adjusting parameters such as alignment, skew, and zoom to match the coordinate system defined in electronic templates. This parameter transformation enables automated extraction to work efficiently across varied file types while maintaining position accuracy through standardized coordinate mapping.
Solution Approach 2:
The patent introduces electronic templates as an intermediary layer between the varied content objects and the extraction process. These templates define segment-position specifications in a standardized coordinate system, acting as a mediator that translates various file formats and orientations into a common reference framework for accurate data extraction.
2Measurement precision
If electronic templates with segment-position specifications are used to extract data from content objects, then data extraction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining electronic templates with segment-position specifications before the actual extraction process. These templates are created in advance with standardized coordinate systems and segment definitions, allowing the extraction system to simply reference and apply them without complex real-time calculations, thus improving accuracy without proportionally increasing complexity.
3Adaptability or versatility
If transformation of segment-position specifications is performed to match content object coordinates, then adaptability to various file types is improved, but processing time increases
Solution Approach 1:
The patent implements dynamic coordinate transformation that adapts the segment-position specifications to match the specific characteristics of each content object. The system dynamically calculates transformation parameters based on the detected file type, alignment, skew, and zoom, allowing flexible adaptation across various formats while optimizing processing speed through efficient transformation algorithms.
Data Source
AI summary
A file receiver receives an electronic structure file that includes structure-file data associated with a spatial arrangement and detects a content object for processing that includes content-object data. A file transformation engine transforms the structure-file data from the structure file into an electronic record. A rendering engine renders an image of the transformed structure-file data arranged in the spatial arrangement. An interface engine detects an input corresponding to specification of a position of a data segment. A parsing engine defines a segment-position specification indicative of the position. A template engine generates an electronic template that associates an identifier of the data segment with the segment-position specification and associates the electronic template with a template identifier. A record classifier determines that the content object corresponds to the template identifier. The parsing engine further extracts, using the segment-position specification, a portion of the content-object data that corresponds to the data segment.