NFT Identification for Search Indexing via Blockchain Triggers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search engines struggle to accurately identify and verify non-fungible token search results, often failing to distinguish them from general web pages and unable to properly flag or index relevant data.
Innovation Solution
A computing system processes blockchain data to identify candidate token data associated with non-fungible tokens by analyzing blockchain trigger events, determining output actions, and assessing the validity and quality of digital resources, generating identification data to index relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines crawl general web pages to find non-fungible token related content, then the quantity of search results increases, but the precision of identifying actual non-fungible tokens deteriorates
Solution Approach 1:
The patent segments the search process into distinct phases: initial web crawling for broad content discovery, followed by blockchain data verification for precise NFT identification. This segmentation allows the system to first maximize result quantity through web crawling, then filter and verify results through blockchain trigger event analysis, thereby resolving the contradiction between quantity and precision.
Solution Approach 2:
The patent introduces blockchain trigger events as an intermediary verification mechanism between web page crawling and final NFT identification. The trigger events serve as a mediator that bridges the gap between general web content and verified NFT data, enabling the system to expand search coverage while maintaining identification accuracy through the intermediary validation layer.
2Adaptability or versatility
If search engines expand search coverage to include more web pages, then the completeness of non-fungible token identification improves, but the complexity of verification processes increases
Solution Approach 1:
The patent implements a universal verification framework using blockchain trigger events that can handle multiple types of NFT-related content (images, videos, music, domain names) through a single standardized process. This multi-functional approach allows the system to expand search coverage across diverse content types while using the same verification mechanism, thereby improving completeness without proportionally increasing complexity.
3Quantity of substance
If search engines index all candidate token data from blockchain, then the coverage of searchable content increases, but the quality and reliability of indexed data deteriorates
Solution Approach 1:
The patent applies preliminary filtering and validation actions before final indexing of NFT data. The system performs advance verification by analyzing blockchain trigger events, validating token standards compliance, and checking digital resource quality metrics prior to indexing. This preliminary action ensures that only verified, high-quality data enters the index, maintaining reliability while achieving comprehensive coverage through systematic pre-screening.
Data Source
AI summary
Systems and methods for identifying token data can include processing blockchain data to determine candidate token data, which can be processed to determine whether the candidate token data is associated with a blockchain trigger event that is associated with a non-fungible token. The systems and methods can process the output action of a blockchain trigger event to determine whether the output action acts similar to the output action of a non-fungible token. The determination may be based on the candidate token data being associated with one or more standards. The identified token data can be indexed and can then be surfaced in response to a search query. The surfaced index data can be provided for display in a search results page.