Schema-Encoded Document Metadata for Accurate Automated Parsing
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Solution Overview
Problem
Existing electronic document formats, such as DOCX and PDF, store information in an unstructured manner, making it difficult for automated parsing software to accurately interpret and extract relevant data, leading to misread or miscategorized information, which can prevent resumes or documents from reaching human reviewers or result in incorrect information being viewed.
Innovation Solution
A method of creating enhanced documents that encode content in a structured form according to a defined schema, allowing for the inclusion of additional semantic information and graphical elements as non-visible metadata, which can be encrypted and embedded in the document, enabling accurate parsing by automated systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If documents are formatted visually appealing for human readers using conventional formats (DOCX, PDF), then the visual appeal and readability for humans is improved, but the structured information storage is worsened making automated parsing difficult and inaccurate
Solution Approach 1:
The patent embeds structured data as non-visible metadata within the visual document, adding a hidden dimension that parsers can access without affecting the visual appearance. The document contains both the visible formatted content for humans and the embedded structured data for machines, resolving the contradiction between visual appeal and parsing accuracy.
Solution Approach 2:
The patent introduces structured data as an intermediary layer between the visual document content and the parsing system. This intermediary structured format acts as a bridge, allowing the visual document to maintain its aesthetic qualities while providing accurate, machine-readable information through embedded metadata.
2Measurement precision
If information is stored in structured formats (XML, JSON) to improve machine readability, then automated parsing accuracy is improved, but the visual appeal and formatting capability for human readers is worsened
Solution Approach 1:
The patent merges the structured data format with the visual document format by embedding the structured information as metadata within the same file. This combination allows the document to simultaneously serve human readers with its formatted appearance and machine parsers with its embedded structured data, eliminating the need to choose between the two formats.
3Quantity of substance
If additional semantic information and graphical elements are added as non-visible metadata, then the amount of information available for parsing is increased, but the document complexity is worsened
Solution Approach 1:
The patent embeds structured data and additional semantic information as nested metadata within the existing document structure. The graphical elements and text information are contained within metadata containers that are themselves embedded within the document format, creating a nested structure that organizes complexity hierarchically and makes the additional information manageable for parsing systems.
Data Source
AI summary
The disclosed enhanced document creation and parsing systems deal with enhanced documents that allow for the presentation of document content in a preferred visual manner, while ensuring that the document content can be captured accurately by an automated parser with nothing being discarded or misrepresented. The enhanced document creation system may create an enhanced document by encoding document content in accordance with a defined schema, optionally encrypting the resulting structured data into an encrypted byte string, and embedding the encrypted byte string as non-visible metadata in a rendered document. The resulting enhanced document can be completely and accurately parsed by an enhanced document parsing system that is capable of extracting, decrypting, and decoding the embedded document metadata.