Select two or more frameworks to compare their similarities and differences.
Comparing 1 framework: Knowledge Graph Quality Management: A Comprehensive Survey.
| Field |
Knowledge Graph Quality Management: A Comprehensive Survey. 2023 |
|---|---|
| Year | 2023 |
| Title | Knowledge Graph Quality Management: A Comprehensive Survey. |
| Abstract | Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. |
| Objectives | Summarize and classify research on all aspects of KG quality (issues, dimensions, metrics, tools, processes). |
| Methodology | Comprehensive literature review; taxonomy of quality concepts; organization of methods for assessment, detection and completion of KGs; discussion of future directions. |
| Algorithm Used | — |
| Top Model | Survey (no single model) |
| Accuracy | — |
| Advantages | Very comprehensive coverage of KG quality topics; connects theory and practice; identifies open research directions. |
| Drawbacks | Only a survey (no new technique); rapidly becomes outdated as new methods emerge. |
| Source | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9709663 |
| Total Criteria | 7 |
Comparing 7 unique criteria across selected frameworks.
| Criterion |
Knowledge Graph Quality Management: A Comprehensive Survey. 2023 |
|---|---|
| Accuracy |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Completeness |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Consistency |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Interpretability |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Security |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Timeliness |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|
| Trustworthiness |
✓ Included
Description: Provides a systematic survey of knowledge graph quality management, covering everything from theory to practice. It reviews quality issues, dimensions (accuracy, completeness, etc.), metrics, assessment methods, and quality improvement processes. … Definitions:
|