20 definitions found across 20 frameworks
| Framework | Definition | Notes |
|---|---|---|
| Assessing the Quality of a Knowledge Graph via Link Prediction Tasks (LP-Measure) 2024 |
Quality dimension from Assessing the Quality of a Knowledge Graph via Link Prediction Tasks (LP-Measure) (2024) | — |
| Assessing the Quality of a Knowledge Graph via Link Prediction Tasks (LP-Measure) 2024 |
Introduces the LP-Measure, an automated approach to assess consistency and redundancy using link prediction tasks, eliminating the need for gold standards. (2024) | — |
| Knowledge Graph Quality Management: A Comprehensive Survey. 2023 |
Quality dimension from Knowledge Graph Quality Management: A Comprehensive Survey. (2023) | — |
| Knowledge Graph Quality Management: A Comprehensive Survey. 2023 |
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. (2023) | — |
| Linked Data Quality Assessment: A Survey 2022 |
Quality dimension from Linked Data Quality Assessment: A Survey (2022) | — |
| 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) | — |
| Introducing the Data Quality Vocabulary (DQV) 2021 |
Quality dimension from Introducing the Data Quality Vocabulary (DQV) (2021) | — |
| Introducing the Data Quality Vocabulary (DQV) 2021 |
Defines the W3C standardized vocabulary for describing quality metadata in a machine-readable format. (2021) | — |
| Knowledge Graph Quality Control: A Survey 2021 |
Quality dimension from Knowledge Graph Quality Control: A Survey (2021) | — |
| Knowledge Graph Quality Control: A Survey 2021 |
Surveys Linked Data/KG quality control. Defines six evaluation dimensions (e.g., completeness, accuracy, timeliness, trust) and analyzes their relationships. Reviews how to identify and mitigate errors during KG construction and maintenance. (2021) | — |
| Luzzu - A Methodology and Framework for Linked Data Quality Assessment 2016 |
Quality dimension from Luzzu - A Methodology and Framework for Linked Data Quality Assessment (2016) | — |
| Luzzu - A Methodology and Framework for Linked Data Quality Assessment 2016 |
Presents Luzzu, a framework for Linked Data Quality Assessment based on an extensible interface and an ontology-driven back-end. (2016) | — |
| From Data Quality to Big Data Quality: A Systematization 2015 |
Quality dimension from From Data Quality to Big Data Quality: A Systematization (2015) | — |
| From Data Quality to Big Data Quality: A Systematization 2015 |
Examines the relationship between Data Quality and Big Data characteristics (Variety, Volume), focusing on various data types (LOD, sensor data). (2015) | — |
| ISO/IEC 25024 & ISO 8000: Data Quality Measurement and Metadata Standards 2015 |
Quality dimension from ISO/IEC 25024 & ISO 8000: Data Quality Measurement and Metadata Standards (2015) | — |
| ISO/IEC 25024 & ISO 8000: Data Quality Measurement and Metadata Standards 2015 |
ISO/IEC 25024 extends ISO 25012 by defining formal methods for measuring data quality, while ISO 8000 introduces standardized data governance and master data management guidelines. (2015) | — |
| Quality assessment for Linked Data: A Survey 2015 |
Quality dimension from Quality assessment for Linked Data: A Survey (2015) | — |
| Quality assessment for Linked Data: A Survey 2015 |
Summarizes linked data quality assessment papers, introducing existing methods, and categorizing dimensions into six groups. (2015) | — |
| ISO/IEC 25012 Data Quality Model 2014 |
Quality dimension from ISO/IEC 25012 Data Quality Model (2014) | — |
| ISO/IEC 25012 Data Quality Model 2014 |
Defines 15 data quality characteristics categorized by Inherent (data itself) and System-Dependent (data quality preserved in a computer system) viewpoints. (2014) | — |