Website Description Model for Automated Data Reacquisition
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Solution Overview
Problem
Conventional machine-to-machine communication for online web resources is limited by non-standardized application programming interfaces (APIs) designed for human interaction, preventing machines from learning to communicate without human intervention.
Innovation Solution
A computer-implemented method that utilizes a description model to acquire, reacquire, and process data from specific portions of websites, including determining popularity and freshness levels, to enable automated navigation and data extraction without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional APIs designed for human interaction are used, then human interpretability is achieved, but machine interpretability deteriorates
Solution Approach 1:
The patent introduces a description model as an intermediary layer between websites and machines. This model translates human-oriented website content into machine-interpretable structured data, enabling automated processing without requiring changes to the original websites or conventional APIs.
Solution Approach 2:
The patent replaces manual human interaction with automated machine processing by substituting the mechanical process of human navigation and data extraction with an automated description model that systematically acquires and processes website data.
2Productivity
If standardized communication protocols are implemented, then machine-to-machine communication efficiency is improved, but adaptability to diverse websites deteriorates
Solution Approach 1:
The description model is designed with universal applicability to work with diverse website structures and content types. It can adapt to different website formats while maintaining consistent machine-interpretable output, enabling one system to handle multiple website variations without requiring website-specific customization.
Solution Approach 2:
The system dynamically adjusts its data acquisition and processing parameters based on the specific website being analyzed, allowing it to optimize its behavior for different website structures while maintaining standardized machine-interpretable output formats.
3Reliability
If continuous data reacquisition is performed, then data freshness is improved, but resource consumption deteriorates
Solution Approach 1:
Instead of continuous monitoring, the system implements periodic data reacquisition based on determined intervals. This approach maintains data freshness by updating information at appropriate intervals while significantly reducing resource consumption compared to continuous monitoring.
Solution Approach 2:
The system uses feedback mechanisms to determine when data reacquisition is necessary, analyzing changes and updating data only when relevant information has changed, thereby optimizing the balance between data freshness and resource usage.
Data Source
AI summary
A computer-implemented method, computer program product and computing system for acquiring data associated with a particular portion of website; determining if the data associated with the particular portion of the website should be reacquired; and if the data associated with the particular portion of the website should be reacquired, reacquiring the data associated with the particular portion of the website via a description model.