Unstructured Data Extraction and Correlation System
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Solution Overview
Problem
Current systems are limited in processing and leveraging public data, particularly unstructured data, offering little more than typical search engine functionality, failing to provide users with meaningful information that ties together multiple data sources effectively.
Innovation Solution
A networked system with a data extractor and correlator that retrieves public data from various sources, extracts information from unstructured data, and correlates it with structured data to generate enriched knowledge, which can be stored and used in subsequent queries, along with a user profile module and feedback mechanism to adapt to user needs and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If typical search engine functionality is used to process public data, then the system is simple and easy to operate, but the ability to provide meaningful information and leverage unstructured data is limited
Solution Approach 1:
The system segments the data processing task into distinct modules: a data extractor module that retrieves unstructured data from public sources, a processor module that analyzes and structures the extracted information, and a integration module that combines it with existing structured data. This segmentation enables sophisticated unstructured data handling while maintaining manageable system complexity through modular design
Solution Approach 2:
The patent introduces an intermediary processing layer between raw public data and the user. This intermediary includes natural language processing components, entity recognition systems, and data correlation engines that transform unstructured data into meaningful structured information, bridging the gap between simple search functionality and intelligent data leverage
2Quantity of substance
If more public data is retrieved and processed, then the quantity of information available to users increases, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary actions by pre-fetching and pre-processing public data in advance. The data extractor continuously retrieves relevant unstructured data from public sources and stores it in a processed state, so that when users query, the information is already prepared and ready for rapid delivery, reducing real-time processing time
Solution Approach 2:
The patent applies partial action by selectively processing only the most relevant portions of retrieved data based on query context and user preferences. Rather than processing all retrieved data equally, the system identifies and processes only the critical subsets needed to answer specific questions, reducing overall processing time while maintaining information quality
Data Source
AI summary
A system may include a machine-implemented data extractor and correlator configured to retrieve data from at least one data source. The data extractor and correlator may extract information from unstructured data within the retrieved data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data.