Qian DU. Research On the Construction Method of Knowledge Graph for the Whole Life Cycle of Power Secondary Equipment[J]. Rural Electrification, 2025, (5): 8-13.
DOI:
Qian DU. Research On the Construction Method of Knowledge Graph for the Whole Life Cycle of Power Secondary Equipment[J]. Rural Electrification, 2025, (5): 8-13. DOI: 10.13882/j.cnki.ncdqh.2503A066.
Research On the Construction Method of Knowledge Graph for the Whole Life Cycle of Power Secondary Equipment
Power secondary equipment is a barrier to ensure the safety and stability of power system. It can improve the information utilization rate of each stage of its life cycle and evaluate the quality of equipment more comprehensively. In this paper
all kinds of data in the whole life cycle of secondary equipment are preprocessed. Through the analysis of the characteristics of domain terms
the labeling specifications and rules are formulated
the domain professional corpus is established
and the domain ontology of the whole life cycle of power secondary equipment is constructed. Using the graph database to realize the storage of domain knowledge graph
complete the construction of domain knowledge graph
realize the knowledge query of nodes and relationships
integrate the fragmented information of the whole life cycle of power secondary equipment
LUO H,HAILONG E,TAN L,et al.DHGE: dual-view hyper-relational knowledge graph embedding for link prediction and entity typing[C]//Proceedings of the AAAI Conference on Artificial Intelligence,2023.37: 6467-6474.
SUN L,ZHANG Z,YE J,et al.A self-supervised mixed-curvature graph neural network[C]//Proceedings of the AAAI Conference on Artificial Intelligence,2022.36: 4146-4155.
BO X,YONG X,LIANG J,et al.CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System[C]//International Conference on Industrial,Engineering and Other Applications of Applied Intelligent Systems,2017.428-438.
WANG H F,LIU Z Q.An error recognition method for power equipment defect records based on knowledge graph technology[J].Journal of Zhejiang University-SCIENCE C,2019,20(11):1564-1577.
CARLETTA J.Assessing agreement on classification tasks: the kappa statistic[J].Computational Linguistics,1996,22(2):249-254.
HRIPCSAK G,ROTHSCHILD A S.Agreement,the F-Measure,and Reliability in Information Retrieval[J].Journal of the American Medical Informatics Association,2005,12(3):296-298.
LI W.A Study on Modeling Ontology Based on Protégé——Taking the Dissertation Service System as an Exemple[J].New Technology of Library and Information Service,2006(10):55-59.
黄志聃.利用protege构建新媒体领域本体的探索[D].武汉理工大学,2013.
MPINDA S A T,MASCHIETTO L G,PRADO M T S.Graph Database Application using Neo4j[C]//Proceedings of the 17th International Conference on Enterprise Information Systems 2015.1: 399–403.
FRANCIS N,GREEN A,GUAGLIARDO P,et al.Cypher: An evolving query language for property graphs[C]//Proceedings of the 2018 international conference on management of data,2018.1433-1445.