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. 2024 Feb 1;10(3):e25383. doi: 10.1016/j.heliyon.2024.e25383

Table 3.

A summary of selected KG construction approaches for concept mapping and visualization.

Ref. KG Specific Purpose Construction Algorithm(s) Type of KB KG Resource(s) #Entites (e)/#Relations (r) Evaluation Criteria Limitation(s)
[86] Improve learning outcomes Ontology based concept mapping Schema-based Textbooks, course slides, and course syllabi #e: 60,000
#r: 80,000
Correlation analysis, ranking entities
  • •Limited discussion on the KG construction algorithms.

  • •Poor evaluation methodology.

[4] Visual representation of the curriculum contents. N/A Schema-based Chinese University MOOC, PTA, and Rain Classroom. N/A Average scoring rates
  • •Focus on K12 education disciplines, with less research in higher education disciplines.

  • •Lack of comprehensive research on the combination of theory and practice in higher education.

  • •Limited discussion on the KG construction and evaluation.

[90] Visual representation of complex concepts in cybersecurity NER and ontology mapping Hybrid Lecture notes, project lab manuals, quizzes, etc. #e: 62
#r: 44
Surveys and interviews
  • •Potential difficulty of accurately extracting entities and relations from highly varied and complex unstructured texts.

  • •The approach was not validated on downstream tasks.

[58] Identifying subject teaching resources BERT-BiLSTM-CRF Hybrid Teaching resources (syllabuses, textbooks, lesson plans) and internet encyclopedia texts (similar to DBpedia for expansion). #e: 1225
#r: 1722
PMI, NGD, baselines comparison
  • •Inadequacy in capturing all knowledge points,

  • •The choice of parameters such as context window size (k) and threshold values affects the graph's structure,

  • •Potential limitations in the coverage of internet encyclopedia texts.

[91] Knowledge building community Mutual information, adjacent information entropy, topic modeling, association rule mining, and pattern matching Schema-free Students' notes, reflections, and summarizations in the field of physics subjects. The paper does not explicitly mention the exact numbers, but it states that a total of 7339 junior middle school physics texts were collected for the dataset. precision, recall, F1-score, and qualitative analysis
  • •Sensitivity to parameter settings,

  • •Generalizability to other domains,

  • •Scalability to larger datasets,

  • •The challenge of ensuring high-quality educational relations through automated techniques.

[101] Visualizing and querying medical knowledge. Determining entities, attributes, and relationships based on user demand analysis and data sources. Schema-based Internet medical encyclopedia, medical encyclopedia, and other medical knowledge sources. N/A Clarity, accessibility, and comprehensiveness of the visualized knowledge map,
  • •No proper discussion on the mechanisms followed to construct the KG,

  • •Poor evaluation techniques.

[102] The interactive dictionary that offers descriptions, meanings, and semantic networks of programming skills Rule-based concept mapping schema-based Wikipedia N/A A comparison of PS-Dict with other computer dictionaries.
  • •Lack of discussion of the accuracy of the heuristic rules used for retrieving Wikipedia articles,

  • •No proper discussion of the mechanisms followed to construct the KG.

[88] Liberal arts subjects "four-step method" involving domain experts, semantic annotation, and data enrichment. Schema-based historical events, literary works, geographical information, and related educational content, N/A N/A
  • •The article lacks specific data or statistics regarding the size and complexity of the KGs created.

  • •It does not explore the technical details of constructing the KG, making it challenging to replicate the process.

  • •The integration of the KG relies on manual annotation and may benefit from more automated methods.

  • •Practical applications and benefits for educators and students are not elaborated upon in detail.

[89] Educational KG Construction and Management NLP and EduLink Hybrid LRMI Standard for educational resources, and external data sources, such as schema.org, YAGO, Wikidata, and diverse online data. #e:>2.5 M A comparison with other existing educational KGs using data sufficiency metric
  • •Lack of specific details on construction algorithms.

  • •The challenge of indexing and linking heterogeneous online data effectively.

  • •The complexity of representing rhetorical roles in educational knowledge.

[103] Internal policy control conceptualization and visualization in higher education Adhoc CNKI database mean Silhouette
  • •Limited data sources,

  • •limited application scope,

  • •poor evaluation metrics,

  • •KG embedding was not properly demonstrated and evaluated