Knowledge graph refinement: A survey of approaches and evaluation methods

Уточнение графов знаний: обзор подходов и методов оценки
Heiko Paulheim
2016-12-06
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DBpediaFreebaseYAGOknowledge graph refinementknowledge graphs
Abstract (AI)
In the recent years, different Web knowledge graphs, both free and commercial, have been created. While Google coined the term “Knowledge Graph” in 2012, there are also a few openly available knowledge graphs, with DBpedia, YAGO, and Freebase being a
Key Findings
1
Multiple web knowledge graphs (both commercial and open) have been created in recent years, including DBpedia, YAGO, and Freebase.
2
The term “Knowledge Graph” was popularized by Google in 2012, marking broader public and commercial interest.
3
There is a need for methods to refine and evaluate knowledge graphs due to the proliferation of different KGs.
Research Object

Knowledge graph refinement approaches and evaluation methods

Research Subject

Techniques and evaluation strategies for improving quality of Web knowledge graphs (e.g., error detection, completion, alignment, and metrics for assessing refinement)

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Publication Date
2016-12-06
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Heiko Paulheim
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