Knowledge Graph Completeness: A Systematic Literature Review

The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to indicate its fitness for use in an application. Several quality dimensions are identified, such as accuracy, completeness, timeliness, provenance, and accessibility, which are used to assess the quality. While man...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.31322-31339
Hauptverfasser:	Issa, Subhi, Adekunle, Onaopepo, Hamdi, Faycal, Cherfi, Samira Si-Said, Dumontier, Michel, Zaveri, Amrapali
Format:	Artikel
Sprache:	eng
Schlagworte:	Assessment Bibliographies completeness Computer Science Data integrity data quality knowledge graph Linked data LOD Measurement metrics Search problems survey systematic literature review Systematics
Online-Zugang:	Volltext
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