Constructing a Knowledge Graph for the Chinese Subject Based on Collective Intelligence

Knowledge graphs are a valuable tool for intelligent tutoring systems and are typically constructed with a focus on objectivity and accuracy. However, they may not effectively capture the subjectivity and complex relationships often present in the humanities. To address this issue, a dynamic visuali...

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Bibliographic Details
Published inInternational journal on semantic web and information systems Vol. 19; no. 1; pp. 1 - 19
Main Authors Ding, Guozhu, Yi, Peiying, Feng, Xinru
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2023
Subjects
Complexity
Graphs
Intelligence (information)
Knowledge representation
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Summary:Knowledge graphs are a valuable tool for intelligent tutoring systems and are typically constructed with a focus on objectivity and accuracy. However, they may not effectively capture the subjectivity and complex relationships often present in the humanities. To address this issue, a dynamic visualization of subject matter knowledge graph was developed using a collective intelligence approach that integrates the individual intelligence of learners and considers cognitive diversity to construct and evolve the knowledge graph. The approach resulted in the construction of 722 knowledge associations and the evolution of 584 triples. A survey assessed the effectiveness and user-friendliness, revealing that this approach is effective, easy to use, and can improve subject matter knowledge ontology. In conclusion, combining individual and collective intelligence is a promising approach for building effective knowledge graphs in subject areas with subjectivity and complexity.
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ISSN:1552-6283
1552-6291
DOI:10.4018/IJSWIS.327355