Multi-field general data acquisition architecture customized based on knowledge graph

Abstract

The invention relates to the technical field of data acquisition, and discloses a knowledge graph customization-based multi-field general data acquisition architecture, which comprises an acquisition module, a processing module, a spectrum building module and a query module. According to the application, the collection module is used for collecting multi-field data and metadata according to a preset period, the processing module is used for extracting the ontology through expert knowledge and data driving, the spectrum building module is used for building an abstract graph, and the query module is used for matching the ontology based on user requirements and generating a fusion graph or triggering instruction collection. Based on the architecture, the single-field limitation of a traditional data acquisition architecture is overcome, multi-field data sources are effectively integrated, the knowledge graph is flexibly customized, diversified knowledge query requirements of a user are accurately met, the data utilization efficiency is greatly improved, multi-field knowledge sharing and collaborative innovation are promoted, and the application prospect is wide. And powerful data and knowledge support is provided for applications such as intelligent decision making and cross-industry data analysis.

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