Object-Aware Fuzzy Processing for Dynamic Web Content
Solution Overview
Problem
Current methodologies for making Internet data machine-readable and processable struggle with dynamic-uncertainty induced by the chaotic nature of web content, leading to instability and unsustainability in task-oriented automated operations.
Innovation Solution
The introduction of 'Dynamically-Fuzzy Semantic Relations based on Analogies' and 'Object-Aware Fuzzy Processing based on Analogies' enables the management of dynamic-uncertainty by establishing dynamic associations between transforming-objects and transforming-concepts through relational-bandwidths, allowing for real-time adaptability and stability in complex web environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methodologies are used to make Internet data machine-readable, then data processing can be performed, but stability and sustainability are lost due to dynamic-uncertainty in web content
Solution Approach 1:
The patent implements dynamically-fuzzy semantic relations that can adapt their degree of fuzziness based on the level of dynamic-uncertainty in the web content being processed. This allows the system to maintain stability by adjusting its adaptability in real-time, resolving the contradiction between reliability and adaptability.
Solution Approach 2:
The system changes the parameter of fuzziness degree dynamically according to the characteristics of web content. By adjusting this parameter, the system can handle both stable and highly dynamic content effectively, maintaining operational stability while adapting to varying content characteristics.
2Productivity
If rigid semantic relations are used for data processing, then processing efficiency is maintained, but the system cannot handle the chaotic nature of web content
Solution Approach 1:
The patent replaces rigid semantic relations with dynamically-fuzzy semantic relations that can adapt their characteristics based on the content being processed. This maintains processing efficiency while enabling the system to handle the chaotic nature of web content through dynamic adjustment of semantic relation properties.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor the dynamic-uncertainty of web content and adjust the degree of fuzziness in semantic relations accordingly. This feedback loop ensures both efficient processing and adaptability to content characteristics.
3Adaptability or versatility
If fuzzy processing is applied to web content, then adaptability to dynamic content improves, but processing complexity increases
Solution Approach 1:
The patent manages processing complexity by dynamically adjusting the degree of fuzziness as a controllable parameter. This allows the system to apply fuzzy processing only when necessary, maintaining adaptability while avoiding unnecessary complexity in processing straightforward content.
Data Source
AI summary
The current disclosure provides methods and systems that can manage the dynamic-uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time. Thus, the disclosure provides—both human and machine—users with the ability to develop and deploy modular systems capable of engaging any conceivable physical or 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.