Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods

Year: 2017
Title: Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods
Abstract: Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors in KGs, along with their evaluation. Summarizes both completion and correction techniques, and categorizes evaluation methodologies.
Objectives: Provide an overview of techniques and evaluation practices for improving KG quality.
Methodology: Literature survey of KG completion/correction; categorizes methods (rule-based, ML, inference) and evaluation strategies (gold vs. silver standard, etc.)
Algorithm Used:
Top Model: Survey (no single model)
Accuracy:
Advantages: Comprehensive review of KG improvement methods (completion and cleaning) with attention to how they are evaluated.
Drawbacks: Focus on methods (not metrics per se); older (2016), so missing newer embedding/LLM approaches.
Source: https://journals.sagepub.com/doi/epub/10.3233/SW-160218 Edit

Criteria (5)

Name Description Definitions
Accuracy Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors in KGs, along with their …
  • Quality dimension from Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (2017)
  • Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors …
Completeness Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors in KGs, along with their …
  • Quality dimension from Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (2017)
  • Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors …
Consistent representation Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors in KGs, along with their …
  • Quality dimension from Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (2017)
  • Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors …
Refinement (Value added Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors in KGs, along with their …
  • Surveys KG refinement (completeness and error-correction). Reviews methods for inferring missing facts and detecting errors …
Refinement (Value added) Quality dimension from Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods
  • Quality dimension from Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (2017)
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