Journal of Shandong University(Engineering Science) ›› 2021, Vol. 51 ›› Issue (2): 26-33.doi: 10.6040/j.issn.1672-3961.0.2020.212

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Construction of knowledge graph of relationship between LncRNA and diseases

GONG Lejun1,2, YANG Lu1, GAO Zhihong3, LI Huakang1,4,5   

  1. 1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China;
    2. Jiangsu Key Lab of Big Data Security &
    Intelligent Processing, Nanjing 210023, Jiangsu, China;
    3. Zhejiang Engineering Research Center of Intelligent Medicine, Wenzhou 325035, Zhejiang, China;
    4. Key Laboratory of Urban Land Resources Monitoring and Simulation, Shenzhen 518034, Guangdong, China;
    5. Suzhou Privacy Information Technology Company, Suzhou 215011, Jiangsu, China
  • Published:2021-04-16

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Abstract: Based on the analysis of the relationship between LncRNA and diseases, the concept of knowledge modeling of LncRNA and diseases was proposed, and an effective method of knowledge mapping of the relationship between LncRNA and diseases was proposed. Protege was used to construct the ontology structure and the concept layer, integrate the structured and unstructured data from two different sources to the data layer, and describe the data and the corresponding relationship through RDF/OWL technology. The production rules based on forward reasoning were used to carry out the corresponding knowledge reasoning. The inference effect of knowledge query was demonstrated by SPARQL query language and visualization technology. This study provided further reference value for the study of the relationship between LncRNA and diseases. Moreover, it also promoted the development of this field.

Key words: LncRNA, knowledge representation, LncRNA-disease association, knowledge graph, ontology

CLC Number: 

  • TP391
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