Knowledge organization of node enterprises’ technological innovation under supply chain environment

Author:

Zhang Qianqian,Liu Shifeng,Tu QunORCID

Abstract

AbstractAn 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.

Funder

Beijing Social Science Foundation

MOE (Ministry of Education in China) Project of Humanities and Social Sciences

Beijing Logistics Informatics Research Base

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

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