Federal Home Loan Mortgage has patented a method for extracting data from web applications. The technology involves monitoring web traffic, creating data logs, and generating commands to access servers and download data to client terminals. The system can identify specific data patterns and provide relevant information to users. GlobalData’s report on Federal Home Loan Mortgage gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Federal Home Loan Mortgage, Virtual banking assistant was a key innovation area identified from patents. Federal Home Loan Mortgage's grant share as of April 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.
Data extraction from web applications using encrypted commands
A recently granted patent (Publication Number: US11962639B1) outlines a method for extracting data from web applications. The method involves monitoring web traffic between a client terminal's web browser and a web server during multiple sessions. By creating data logs based on user interactions with the web server, the processors generate encrypted commands to replicate these interactions. This process includes extracting transfer protocol requests and responses to obtain private parameters like authentication credentials. By executing these commands, the method can recreate the web traffic sequence, extract private data, and display it on the client terminal.
Furthermore, the patent details additional steps such as extracting HTTP requests and responses from the data log, identifying user-specified patterns in web pages to extract pertinent data, and pruning the data log to remove irrelevant entries. The method also allows for storing the sequence of commands as a non-interactive script for automated retrieval of private data. The patent covers a computer-readable storage medium containing instructions for executing these operations, as well as a system comprising processors and a computer-readable medium to perform the data extraction process from web applications efficiently.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
