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 …

Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …

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 …

This article acts as a successor to the 10 simple rules for editing Wikipedia from a decade
ago [1]. It addresses Wikipedia's machine-readable cousin: Wikidata—a project potentially …

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are
key to many Natural Language Processing (NLP) tasks, such as information retrieval …

Wikidata has become one of the most prominent open knowledge graphs (KGs) on the Web.
Relying on a community of users with different expertise, this cross-domain KG is directly …

Knowledge Graph Construction (KGC) can be seen as an iterative process starting from a
high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop …

GLAM organizations have been digitizing their collections and making them available for the
public for several decades. Recent methods for publishing digital collections such as “GLAM …

Wikidata is a free, multilingual, open knowledge-base that stores structured, linked data. It
has grown rapidly and as of December 2022 contains over 100 million items and millions of …

In this work, we explore the use of Large Language Models (LLMs) for knowledge
engineering tasks in the context of the ISWC 2023 LM-KBC Challenge. For this task, given …