An improved text classification method based on domain ontology is proposed in this paper to organize the mass information that records node enterprises’ innovation activities under the supply chain environment. This method can classify the documents of node enterprises under the supply chain without a training set. It achieves a precision of 80% for documents’ classification, which outperforms the baseline method. Besides, the paper constructs a domain ontology of enterprises’ technological innovation under the supply chain that effectively enhances the semantic relationship between words. Therefore, it can summarize and classify the textual information generated by node enterprises in product design, production, storage, logistics, and sales.

提出了一种基于领域本体的改进文本分类方法，以组织海量信息，记录供应链环境下节点企业的创新活动。该方法无需训练集即可对供应链下节点企业的文档进行分类。它的文档分类精度达到80％，优于基线方法。此外，本文构建了供应链下企业技术创新的领域本体，有效地增强了词与词之间的语义联系。因此，它可以对节点企业在产品设计，生产，存储，物流和销售中生成的文本信息进行汇总和分类。