Universal Data Extraction System for Diverse Document Formats
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Solution Overview
Problem
Current systems for extracting information from electronic documents are limited by their specificity to document formats and layouts, making it inefficient and costly to manage and search the diverse range of documents stored in enterprise databases.
Innovation Solution
A system comprising a data warehouse, format converter, extraction module, data maintenance module, statistics module, navigation module, and settings module, which converts documents into a standard format, extracts data using customizable procedures, maintains document data, monitors extraction statistics, and provides user-friendly interfaces for launching and configuring extraction processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mining techniques are made specific to document formats and layouts, then extraction precision is improved, but system adaptability deteriorates
Solution Approach 1:
The patent implements a universal data extraction system that can handle multiple document formats and layouts through a single integrated platform. The system uses format-agnostic parsing techniques and configurable extraction patterns that adapt to different document types without requiring separate specialized systems for each format, thereby achieving both precision and versatility.
Solution Approach 2:
The system employs configurable extraction parameters and patterns that can be dynamically adjusted to match different document formats. By changing extraction parameters such as data types, location patterns, and format specifications, the same core system can accurately extract data from diverse document types without requiring fundamental system changes.
2Measurement precision
If multiple specialized systems are used for different document formats, then extraction precision is improved, but device complexity increases
Solution Approach 1:
The patent consolidates multiple document extraction functionalities into a single unified system. By merging format-specific extraction capabilities into one integrated platform with a common processing architecture, the system reduces overall complexity while maintaining the precision needed for different document types through configurable parameters rather than separate systems.
Solution Approach 2:
A universal extraction engine is implemented that can handle various document formats through a single system architecture. This multi-functional approach eliminates the need for multiple specialized systems, reducing device complexity while maintaining extraction precision through adaptable parsing and configuration mechanisms.
3Measurement precision
If format-specific extraction methods are used, then data accuracy is improved, but productivity decreases
Solution Approach 1:
The system uses configurable extraction parameters that can be quickly adjusted to match different document formats. This allows the system to maintain high data accuracy for each format while processing multiple formats efficiently through a single unified engine, avoiding the overhead of switching between multiple specialized systems.
Solution Approach 2:
The system performs preliminary configuration of extraction parameters and patterns before processing documents. By pre-defining extraction patterns for different formats, the system can quickly and accurately process diverse document types without time-consuming format detection or system switching, thereby improving productivity while maintaining accuracy.
Data Source
AI summary
A system and method of extracting information from electronic data sources that includes generating a list of file names containing the information to be extracted. Each file name in the list is read into memory, the file that corresponds to the file name is read into memory, and the information is extracted from the file by executing a series of programming instructions. The information is saved to an extracted file, and one or more file names in the list is identified to correspond to an extracted file.