Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO

被引：0
|
作者：
Faerber, Michael [1 ]
Bartscherer, Frederic [1 ]
Menne, Carsten [1 ]
Rettinger, Achim [1 ]
机构：
[1] Karlsruhe Inst Technol, Inst AIFB, D-76131 Karlsruhe, Germany
来源：
SEMANTIC WEB | 2018年 / 9卷 / 01期
关键词：
Knowledge Graph; Linked Data Quality; Data Quality Metrics; Comparison; DBpedia; Freebase; OpenCyc; Wikidata; YAGO; WEB;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, several noteworthy large, cross-domain, and openly available knowledge graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Although extensively in use, these KGs have not been subject to an in-depth comparison so far. In this survey, we provide data quality criteria according to which KGs can be analyzed and analyze and compare the above mentioned KGs. Furthermore, we propose a framework for finding the most suitable KG for a given setting.
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收藏
页数：53
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