Linked Data Quality Assessment through Network Analysis

Year:	2011
Title:	Linked Data Quality Assessment through Network Analysis
Abstract:	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network measures (e.g., degree, connectivity) to quantify whether newly added inter-dataset links improve or degrade data quality. Validated on known-quality link sets to detect quality changes.
Objectives:	Determine at a global scale if adding links improves or hurts Linked Data quality using network properties.
Methodology:	Builds global Linked Data graph (or subset), computes statistical network metrics (e.g., clustering, centralization) before and after adding links. Changes in metrics indicate quality improvement or degradation.
Algorithm Used:	LINK-QA (network-statistics-based QA).
Top Model:	Network analysis framework.
Accuracy:	Validated on test cases of known good/bad links (effective at detecting quality changes).
Advantages:	Does not require manual gold data; provides global summary of link quality; extensible by adding more network metrics.
Drawbacks:	Focuses only on connectivity/structure (not semantics or content); may miss subtle data issues; requires selecting appropriate metrics.
Source:	https://jens-lehmann.org/files/2011/iswc_pd_linkqa.pdf Edit

Criteria (5)

Name	Description	Definitions
Consistent representation	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network measures (e.g., degree, connectivity) to …	Quality dimension from Linked Data Quality Assessment through Network Analysis (2011) Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network …
Accessibility (Connectivity	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network measures (e.g., degree, connectivity) to …	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network …
Accessibility (Connectivity)	Quality dimension from Linked Data Quality Assessment through Network Analysis	Quality dimension from Linked Data Quality Assessment through Network Analysis (2011)
Completeness	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network measures (e.g., degree, connectivity) to …	Quality dimension from Linked Data Quality Assessment through Network Analysis (2011) Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network …
Navigability	Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network measures (e.g., degree, connectivity) to …	Quality dimension from Linked Data Quality Assessment through Network Analysis (2011) Proposes a framework to assess Linked Data quality from a global network perspective. Uses graph/network …