An advertisement production management method based on cross-platform data integration

By constructing a cross-platform data integration network and an indicator semantic knowledge graph, the problem of the difficulty in unified analysis of cross-platform data was solved, and closed-loop self-updating and unified indicator configuration for advertising production management were realized.

CN122199068APending Publication Date: 2026-06-12MAIGAOHEYI CULTURE TECH GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MAIGAOHEYI CULTURE TECH GRP CO LTD
Filing Date
2026-03-05
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

After cross-platform incremental aggregation, it is difficult to directly support unified analysis and coordinated execution, resulting in cross-platform data being difficult to form an executable unified indicator configuration.

⚗Method used

By acquiring multi-source heterogeneous data, a cross-platform data integration network is constructed, incremental aggregation and data normalization are performed, a standardized set of data objects is generated, and a semantic knowledge graph of indicators is constructed through unified identification and association indexes. A unified indicator caliber configuration is generated, and finally an advertising knowledge graph main graph is generated. Association analysis and semantic modeling are performed to output the optimal advertising strategy.

🎯Benefits of technology

It enables unified management and analysis of cross-platform data, reduces data access and maintenance costs, improves governance controllability and interpretability, ensures the ability to trace the historical evolution of data source identifiers and timestamps, and realizes closed-loop self-updating of advertising production management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an advertisement production management method based on cross-platform data integration, relates to the technical field of knowledge graphs, and comprises the following steps: acquiring multi-source heterogeneous data, constructing a cross-platform data integration network, inputting the multi-source heterogeneous data into the cross-platform data integration network, performing incremental convergence and data normalization, and generating a standardized data object set; constructing an index semantic knowledge graph based on a unified identifier and an association index, performing caliber alignment, generating a unified index caliber configuration, assembling the standardized data object set according to the unified index caliber configuration, and generating an advertisement knowledge graph main graph; submitting advertisement materials to a media platform and performing delivery, generating delivery effect data, updating the advertisement knowledge graph based on the delivery effect data, and completing advertisement production management. The application realizes closed-loop self-updating of advertisement production management by generating delivery effect data and writing back to update the advertisement knowledge graph.
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