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Home > Archive>Volume 30, Issue 10, 2021 >59-67. DOI:10.15888/j.cnki.csa.008218
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Construction of Discipline Knowledge Graph for Multi-Source Heterogeneous Data Sources
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    Abstract:

    It is difficult to count the discipline information stored in a scattered form. With regard to this problem, based on the domain ontology model of computer discipline, the computer discipline knowledge graph in universities is constructed by integrating the multi-source and heterogeneous data. First, domain knowledge is acquired from relevant websites and existing documents through Web crawlers and other tools, and the data are cleaned on the basis of the BERT model. Then, Word2Vec is used to judge the similarity between the research directions of characters, so as to solve the problem about entity alignment. Finally, the data are imported into the Neo4j graph database to realize the storage of knowledge. According to the knowledge graph, the visualization system of computer discipline is established, which can fulfil information retrieval, graphic display, and other functions and realize quick query and resource statistics of computer discipline data. It is expected to facilitate the follow-up discipline evaluation work and make it more efficient.

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李家瑞,李华昱,闫阳.面向多源异质数据源的学科知识图谱构建方法.计算机系统应用,2021,30(10):59-67

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History
  • Received:January 11,2021
  • Revised:February 23,2021
  • Online: October 08,2021
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