Knowledge graph-based approach to trace the full life cycle information of decommissioned electromechanical products

Aiming at the problems of high spatial and temporal dispersion, strong quality uncertainty and weak cross-organizational information correlation in the recycling of decommissioned electromechanical products, this paper proposes a knowledge graph-based method for tracing the full life cycle information of decommissioned electromechanical products. First, the structure of the knowledge graph of the full life cycle information of decommissioned electromechanical products is constructed, then the key techniques for constructing the knowledge graph of the full life cycle information of decommissioned electromechanical products are proposed, and finally, the effectiveness of the method is verified through examples, which can provide strong support for the full life cycle information tracing of decommissioned electromechanical products.

[1]  Li Yan,et al.  Dependency syntax guided BERT-BiLSTM-GAM-CRF for Chinese NER , 2022, Expert Syst. Appl..

[2]  Xiaogang Ma Knowledge graph construction and application in geosciences: A review , 2021, Comput. Geosci..

[3]  George T. S. Ho,et al.  A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management , 2021, Expert Syst. Appl..

[4]  Yi-ming Liao,et al.  Research on enterprise risk knowledge graph based on multi-source data fusion , 2021, Neural Computing and Applications.

[5]  Evangelos E. Milios,et al.  Deep analysis of word sense disambiguation via semi-supervised learning and neural word representations , 2021, Inf. Sci..

[6]  Feng Ji,et al.  AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce , 2020, CIKM.

[7]  Hoang Long Nguyen,et al.  Knowledge graph fusion for smart systems: A Survey , 2020, Inf. Fusion.

[8]  Chong Teng,et al.  A deep neural network model for speakers coreference resolution in legal texts , 2020, Inf. Process. Manag..

[9]  Qing Li,et al.  A comprehensive exploration of semantic relation extraction via pre-trained CNNs , 2020, Knowl. Based Syst..

[10]  Feifei Li,et al.  OpenTag: Open Attribute Value Extraction from Product Profiles , 2018, KDD.

[11]  Luke S. Zettlemoyer,et al.  End-to-end Neural Coreference Resolution , 2017, EMNLP.

[12]  Hongming Cai,et al.  IoT-Based Configurable Information Service Platform for Product Lifecycle Management , 2014, IEEE Transactions on Industrial Informatics.

[13]  Hong Chen,et al.  Scalable and noise tolerant web knowledge extraction for search task simplification , 2013, Decis. Support Syst..

[14]  Randall Davis Knowledge-Based Systems , 1986, Science.

[15]  Chengying Chi,et al.  Research on Medical Question Answering System Based on Knowledge Graph , 2021, IEEE Access.

[16]  Yong Shi,et al.  A knowledge graph constructed for job-related crimes , 2021, ITQM.