Hierarchical public data visual retrieval system and method based on crowdsourcing analysis and data standardization

By building a data platform based on crowdsourced analytics, the problems of public data resource integration and comparability have been solved, enabling seamless data transition and display from macro to micro levels, improving data utilization efficiency and comparability, and supporting expansion into multiple fields.

CN122309602APending Publication Date: 2026-06-30杨小莲
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Patent Information

Application Number
CN202610338943.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-08
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies cannot effectively integrate and utilize fragmented public data resources, resulting in low data utilization efficiency. Furthermore, the use of multiple currencies and inconsistent financial reporting cycles makes the data incomparable, making it difficult to generate a true global development index.

Method used

We build a data platform based on crowdsourced analytics, enabling seamless transitions from macro to micro levels through standardized data processing and interactive charts. This includes unified exchange rate conversion and reporting cycle alignment, generating comparable indices by combining specific weights and benchmarking, and displaying data associations through event-triggered mechanisms for chart elements.

Benefits of technology

It enables ordinary users to obtain high-quality structured data without professional knowledge, ensuring data comparability, improving macro-level insights and retrieval efficiency, and supporting multi-domain expansion.

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Abstract

The invention discloses a hierarchical public data visual retrieval system and method based on crowdsourcing analysis and data standardization. The system comprises a crowdsourcing analysis platform used for receiving and auditing feature indexes extracted from public data by expert users; the data standardization module is used for performing exchange rate unified conversion and report period standardization processing on the financial data to ensure data comparability; the index calculation module is used for calculating individual development indexes according to a specific formula; the index generation module is used for generating individual development indexes, regional development indexes and global development indexes according to the reference values and generating a macroscopic trend chart; the multi-level index database is used for storing multi-level data and external links; the interaction response module is used for responding to a chart click event and drilling down to obtain detail data; the data display module is used for generating a next-level chart; and the context-aware navigation module is used for automatically navigating to a preset external information source according to the function label selected by the user and the entity click in the chart. According to the method, the data utilization threshold is reduced through crowdsourcing, the comparability of global data is guaranteed through standardized processing, and seamless and efficient retrieval and navigation from macroscopic trend to microscopic information are realized.
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