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 …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

Abstract Knowledge graphs (KGs), which could provide essential relational information
between entities, have been widely utilized in various knowledge-driven applications. Since …

Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation. Its
knowledge is increasingly used within Wikipedia itself and various other kinds of information …

Text simplification research has mostly focused on sentence-level simplification, even
though many desirable edits-such as adding relevant background information or reordering …

Research on vandalism in Wikipedia has been of interest for the last decade. This paper
performs a literature review on the subject, with the goal of identifying the main research …

We describe a framework for analyzing simulation output in order to find solutions that will
work well after implementation. We show how the use of a loss function that incorporates …

Wikidata, like Wikipedia, is a knowledge base that anyone can edit. This open collaboration
model is powerful in that it reduces barriers to participation and allows a large number of …

Knowledge graph embedding (KGE) can benefit a variety of downstream tasks, such as link
prediction and relation extraction, and has therefore quickly gained much attention …

Abstract In recent years, Knowledge Graphs (KGs) have been widely used in applications
such as search engines and Q&A systems. During construction, errors were inevitably …