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|Referiert=True
 
|Referiert=True
 
|Title=Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO
 
|Title=Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO
|Year=2016
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|Year=2017
 
|Journal=Semantic Web Journal
 
|Journal=Semantic Web Journal
 
|Publisher=IOS Press
 
|Publisher=IOS Press
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{{Publikation Details
 
{{Publikation Details
 
|Abstract=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.
 
|Abstract=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.
 +
|Download=KG-Comparison-SWJ-Article.pdf,
 
|Link=http://km.aifb.kit.edu/sites/knowledge-graph-comparison/
 
|Link=http://km.aifb.kit.edu/sites/knowledge-graph-comparison/
 +
|Projekt=SUITE, XLiMe
 
|Forschungsgruppe=Web Science und Wissensmanagement
 
|Forschungsgruppe=Web Science und Wissensmanagement
 
}}
 
}}
 
{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl
 
|Forschungsgebiet=Wissensrepräsentation
 
|Forschungsgebiet=Wissensrepräsentation
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Ontologiemodellierung
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Semantic Web
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}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Semantic Web Infrastructure
 
}}
 
}}

Version vom 8. Februar 2017, 17:37 Uhr


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


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



Veröffentlicht: 2017

Journal: Semantic Web Journal


Verlag: IOS Press


Referierte Veröffentlichung

BibTeX




Kurzfassung
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.

Download: Media:KG-Comparison-SWJ-Article.pdf
Weitere Informationen unter: Link

Projekt

SUITEXLiMe



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet

Wissensrepräsentation, Semantic Web Infrastructure, Ontologiemodellierung, Semantic Web