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Comparison Summary

Comparing 1 framework: Linked Data Quality Assessment: A Survey

Framework Details Comparison

Field Linked Data Quality Assessment: A Survey
2022
Year 2022
Title Linked Data Quality Assessment: A Survey
Abstract Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system.
Objectives To identify existing end-to-end frameworks and propose a standard scalable system that integrates quality issue identification, evaluation, and improvement.
Methodology Survey analysis; proposed an ontology-based solution (FSDCQ ontology) to analyze root causes of quality violations.
Algorithm Used Ontology-based reasoning (SWRL), Fuzzy Inference
Top Model FSDCQ Ontology
Accuracy Equally good as k-NN (for feature selection recommendation)
Advantages Highlights the critical need for end-to-end refinement systems; identifies core limitations of prior work.
Drawbacks Most frameworks reviewed were fragmented, dealing with only one aspect of quality; many focused solely on DBpedia.
Source https://www.researchgate.net/publication/358662383_Linked_Data_Quality_Assessment_A_Survey#full-text
Total Criteria 17

Criteria Comparison

🤖 AI Enhanced (huggingface) 🔄 Refresh AI Analysis ⚙️ Disable AI Enhancement

Comparing 17 unique criteria across selected frameworks.
✨ AI-powered semantic analysis enabled

🔍 Semantic Similarities

The following criteria are semantically similar (same concept, different names):

Accuracy is similar to: Completeness Conciseness
Availability is similar to: Timeliness Relevancy
Interlinking is similar to: Interoperability
Interoperability is similar to: Interlinking
Licensing is similar to: Security
Performance is similar to: Timeliness
Relevancy is similar to: Availability
Trustworthiness is similar to: Validity
Understandability is similar to: Interpretability
Validity is similar to: Trustworthiness
Versatility is similar to: Completeness
Criterion Linked Data Quality Assessment: A Survey
2022
Accuracy 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Availability 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Completeness ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Conciseness ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Consistency ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Interlinking 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Interoperability 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Interpretability ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Licensing 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Performance 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Relevancy 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Security ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Timeliness ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Trustworthiness 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Understandability 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Validity 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Versatility 🔗 Similar ✓ Included
Description: Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)
Definitions:
  • Quality dimension from Linked Data Quality Assessment: A Survey (2022)
  • Identifies state of the art, highlighting fragmentation, and proposing a solution based on ontology to build an end-to-end system. (2022)