Object-Aware Fuzzy Processing for Stable Web Interactions
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Solution Overview
Problem
Current web interaction systems are limited in their ability to maintain stability and sustainability of interactions in dynamic and complex web environments, as they rely on static APIs and struggle with contextual and structural alterations, leading to lost or incorrect associations between web objects.
Innovation Solution
The introduction of an intelligent semantic web infrastructure, known as Superimposed Communication Framework, which employs Object-Aware Fuzzy Processing based on Analogies to establish and maintain stable associations between web objects, allowing for dynamic processing and adaptation in real-time without relying on traditional APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional APIs are used for web interaction, then integration is simplified, but stability and sustainability of interactions deteriorate in dynamic web environments
Solution Approach 1:
The patent introduces an intermediary layer (annotation system, super-object framework) between the web resource and the interaction system. This intermediary maintains associations through multiple mechanisms (DOM tracking, visual element identification, analogy-based matching) rather than relying on a single API interface, thereby improving reliability while maintaining ease of operation through automated association management.
Solution Approach 2:
The system transitions from static API-based integration to dynamic association maintenance. The patent implements continuous tracking of web object states, real-time detection of structural alterations, and adaptive re-association mechanisms that respond to changes in the web environment, enabling the system to maintain stability in dynamic conditions.
2Ease of manufacture
If static APIs are used for web integration, then implementation is straightforward, but adaptability to contextual and structural alterations deteriorates
Solution Approach 1:
The system implements dynamic adaptation mechanisms including real-time DOM tracking, visual element identification, and analogy-based matching that automatically respond to contextual and structural changes in web resources, transforming static integration into a dynamic, self-adapting process.
Solution Approach 2:
The patent incorporates feedback loops that continuously monitor web resource states, detect alterations, and trigger re-association procedures. The system uses feedback from DOM changes, visual element comparisons, and analogy matching results to automatically adjust and maintain associations without requiring manual intervention.
3Adaptability or versatility
If web environments are made more dynamic and complex, then interaction potential increases, but maintaining associations and adapting execution procedures becomes exponentially more difficult
Solution Approach 1:
The patent segments the association maintenance task into multiple independent mechanisms: DOM-based tracking, visual element identification, analogy-based matching, and state detection. Each mechanism handles specific aspects of the problem, and their results are combined to maintain associations, reducing the complexity of any single mechanism while improving overall robustness.
Solution Approach 2:
The system implements a universal association maintenance framework that can handle various types of web resources, structural alterations, and interaction scenarios through a single integrated system. The super-object framework and analogy-based matching provide universal mechanisms that work across different web environments and alteration types, reducing the need for specialized solutions for each case.
Data Source
AI summary
Disclosed methods and systems provide an intelligent semantic web infrastructure to transform decentralized data networks, such as the Internet, into controllable and evolvable information spaces, i.e., where all information becomes subject to further processing in real-time in a stable and sustainable manner without any API support. In contrast to the object-based state-of-the-art, the disclosed system is designed to be object-aware to ensure the establishment of stable and sustainable associations with web objects, while enabling them to be processed dynamically with full adaptability in response to contextual and structural alterations. In this context, the system provides human and machine users with the ability to develop and deploy modular dynamic subsystems capable of engaging any conceivable digital interaction with the resources of a data network, such as dynamically linking and manipulating clusters of complex web objects to execute complex tasks in complex and dynamic web environments—most importantly—stably and sustainably.