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Aiming at the current situation of complex financial ownership structure and isolated data organization, this study referring to the methods for multi-layer hierarchical construct domain ontology modeling. At the same time, the three dimensions of industry, company and internal environment were integrated, and the concept cube was designed and constructed based on knowledge extraction and text classification technology, so as to provide a multi-level and fine-grained knowledge representation and association method for financial equity knowledge. The experimental results show that conceptual cube structure represents semantic information as a dense lowdimensional representation vector, which greatly enhances semantic relevance and interpretability. The multilayer ontology-driven ownership structure reflects a variety of knowledge association patterns, and in the "Intelligent Financial Big Data System" developed by the research team, the association query of three categories of association relationships in the field of industry, enterprise and internal environment is realized, as well as the dynamic analysis and supervision of typical financial management problems. [ABSTRACT FROM AUTHOR]