With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

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 …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

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 …

The Wikipedia category graph serves as the taxonomic backbone for large-scale knowledge
graphs like YAGO or Probase, and has been used extensively for tasks like entity …

This paper addresses the task of assigning labels of fine-grained named entity (NE) types to
Wikipedia articles. Information of NE types are useful when extracting knowledge of NEs …

When it comes to factual knowledge about a wide range of domains, Wikipedia is often the
prime source of information on the web. DBpedia and YAGO, as large cross-domain …

Knowledge Graph (KG) completion has been widely studied to tackle the incompleteness
issue (ie, missing facts) in modern KGs. A fact in a KG is represented as a triplet (h, r, t) …

Modern Knowledge Graphs (KG) often suffer from an incompleteness issue (ie, missing
facts). By representing a fact as a triplet linking two entities and via a relation, existing KG …

Over the last decade, extensive research has been done on automatic construction of
knowledge graphs from Web resources, resulting in a number of large-scale knowledge …