Launched in 2012, Wikidata has already become a success story. It is a collaborative
knowledge graph, whose large community has produced so far data about more than 55 …

Purpose The purpose of this paper is to review the current status of research on Wikidata
and, in particular, of articles that either describe applications of Wikidata or provide empirical …

Abstract Knowledge graphs (KGs) are huge collections of primarily encyclopedic facts. They
are widely used in entity recognition, structured search, question answering, and other …

The collaborative knowledge base Wikidata is the central storage of Wikimedia projects,
containing over 45 million data items. It acts as the hub for interlinking Wikipedia pages …

Content gaps in knowledge graphs impact downstream applications. Semantic Web
researchers have studied them mainly in relation to data quality or ontology evaluation, for …

Wikidata is one of the most edited knowledge bases which contains structured data. It serves
as the data source for many projects in the Wikimedia sphere and beyond. Since its …

Wikidata is rapidly emerging as a key resource for a multitude of online tasks such as
Speech Recognition, Entity Linking, Question Answering, or Semantic Search. The value of …

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 …

The Semantic Web is commonly interpreted under the open-world assumption, meaning that
information available (eg, in a data source) captures only a subset of the reality. Therefore …

Completeness is a crucial data quality aspect that deals with the question: do we have all
the data we need? The lack of awareness on the completeness state of a knowledge graph …