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A Method for Constructing an Outsourcing Business Model for Wallboard Processing Based on Knowledge Graphs
Received:February 18, 2025  
DOI：10.11980/j.issn.0254-508X.2025.05.020
Key Words:papermaking machinery  wallboard outsourcing  model construction  knowledge graphs
Fund Project:国家重点研发计划项目（2023YFB3308800）；渭南市重点研发计划（2024ZDYFJH-767）。
Author NameAffiliationPostcode
YANG Hongen* Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an, Shaanxi Province, 710048 710048
LIU Shanhui* Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an, Shaanxi Province, 710048 710048
LI Chaoyang Shanghai Baosight Software Co., Ltd., Shanghai, 201203 201203
QIAN Song Xi’an Aerospace Huayang Electromechanical Equipment Co., Ltd., Xi’an, Shaanxi Province, 710100 710100
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Abstract:Aiming at the problems of multi-source heterogeneous data and inconsistent product quality consistency in the outsourcing processing of papermaking machinery wallboard under the cloud manufacturing paradigm， this paper proposed a method of building the outsourcing model of wallboard based on knowledge graph. The method analyzed the processing information such as process parameters and equipment， as well as their inherent relationships. An ontology modeling strategy was employed， combining the seven-step method and skeleton method. An improved BiLSTM-CRF extraction algorithm was introduced， along with a BERT-based cosine similarity algorithm for entity semantic coreference resolution. Neo4j graph database was used for knowledge storage and graph construction. The results showed that the proposed extraction model outperformed the comparison models in terms of precision， recall， and F1-score on the self-created dataset， significantly improving the efficiency of information flow and decision support during the outsourcing processing process.
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