Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Knowledge bases such as Wikidata, DBpedia, or YAGO contain millions of entities and facts.
In some knowledge bases, the correctness of these facts has been evaluated. However …

General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many
of them are constructed pragmatically from web sources and are thus far from complete. This …

Abstract Knowledge bases such as Wikidata, DBpedia, YAGO, or the Google Knowledge
Vault collect a vast number of facts about the world. But while quite some facts are known …

We outline a call to action for promoting empiricism in data quality research. The action
points result from an analysis of the landscape of data quality research. The landscape …

An attribute is obligatory for a class in a Knowledge Base (KB), if all instances of the class
have the attribute in the real world. For example, hasBirthDate is an obligatory attribute for …

Abstract Knowledge bases (KBs) such as DBpedia, Wikidata, and YAGO contain a huge
number of entities and facts. Several recent works induce rules or calculate statistics on …

信息技术的迅速发展, 催生了大数据时代的到来. 大数据已经成为信息社会的重要财富,
为人们更深入地感知, 认识和控制物理世界提供了前所未有的丰富信息. 然而随着数据规模的 …

It is common practice for data scientists to acquire and integrate disparate data sources to
achieve higher quality results. But even with a perfectly cleaned and merged data set, two …

Nowadays, more and more RDF data is becoming available on the Semantic Web. While the
Semantic Web is generally incomplete by nature, on certain topics, it already contains …