Sentiment Documents for Trust Establishment in Decentralized Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In decentralized networks, there is a lack of a unified structure to express and establish trust among entities, as conventional centralized platforms are absent, making it challenging to quantify and verify sentiments and interactions, which is crucial for transactions and resource transfers.
Innovation Solution
A sentiment document is maintained at a decentralized node, accessible via a decentralized identifier, allowing entities to publish and crawl sentiments towards each other, using a schema and semantics to parse relevant information, and employing machine-learning models for sentiment scoring and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If decentralized networks are used to provide functionality and secure data transfer, then autonomy and security are improved, but trust establishment among entities becomes difficult due to lack of centralized authority
Solution Approach 1:
The patent introduces sentiment documents as intermediary artifacts that mediate trust establishment between entities in decentralized networks. These documents contain structured sentiment data, reviews, and ratings that serve as verifiable evidence of entity interactions, enabling trust assessment without centralized authority.
Solution Approach 2:
The sentiment document schema serves multiple functions simultaneously: it stores sentiment expressions, provides verification mechanisms, enables crawling and aggregation, and supports various types of entity interactions (reviews, ratings, sentiments). This multi-functionality resolves the contradiction by providing a universal trust establishment mechanism applicable across different decentralized network scenarios.
2Ease of operation
If centralized platforms are used to manage trust and sentiments, then trust establishment becomes easier, but control and security over sentiment data are reduced
Solution Approach 1:
Entities autonomously create, publish, and manage their own sentiment documents without requiring centralized platform intervention. The sentiment schema and verification mechanisms are self-contained, allowing entities to control their own data while maintaining ease of trust establishment through standardized formats that can be crawled and verified by other entities.
3Measurement precision
If sentiment data is structured with schemas and semantics, then sentiment parsing and analysis become more accurate, but data structure complexity increases
Solution Approach 1:
The sentiment document schema segments sentiment data into distinct, well-defined components (sentiment expressions, reviews, ratings, verification fields). This segmentation enables precise sentiment parsing and analysis while keeping the overall structure manageable through modular organization of data elements.
Data Source
AI summary
Decentralized trust establishment using sentiment documents is described. In an implementation, a decentralized network of nodes is generated. A first entity is associated with a select node of the nodes. A user interface is presented including one or more options at an edge device of the first entity. The options support inputs specifying identification of a second entity, sentiment regarding the second entity, and supporting information describing why the sentiment is expressed towards the second entity. A plurality of sentiment documents are collected, respectively, from the plurality of nodes of the decentralized network. A sentiment is determined as associated with an entity by processing the plurality of sentiment documents. The determined sentiment is output.