The 4th Wikidata Workshop -Wikidata Workshop 2023 The 4th Wikidata Workshop -Wikidata Workshop 2023 1613-0073 25FAEC6C84E480EBBC4BEDF396D0AC49 GROBID - A machine learning software for extracting information from scholarly documents

Wikidata is an open knowledge base hosted by the Wikimedia Foundation that can be read and edited by both humans and machines. Wikidata acts as the central source of common, open structured data used by Wikipedia, Wiktionary, Wikisource, and others. It is used in a variety of academic and industrial applications.

In recent years, we have seen an increase in the number of scientific publications around Wikidata. While there are a number of venues for the Wikidata community to exchange, none of those publish original research. We want to bridge the gap between these communities and the research events and give the research-focused part of the Wikidata community a venue to meet and exchange information and knowledge.

The Wikidata Workshop 2023 focuses on the challenges and opportunities of working on a collaborative open-domain knowledge graph such as Wikidata, which is edited by an international and multilingual community. We encourage submissions that observe the influence such a knowledge graph has on the web of data, as well as those working on improving this knowledge graph itself. This workshop brings together everyone working around Wikidata in both the scientific field and industry to discuss trends and topics a round this collaborative knowledge graph.
University of Toronto & Microsoft Mahir Morshed, University of Illinois at Urbana-ChampaignOrganizing Committee:Lucie-Aimée Kaffee, Hasso Plattner InstituteSimon Razniewski, Bosch Center for AIKholoud Saad Alghamdi, King's College LondonHiba Arnaout, Max Planck Institute for InformaticsProgram Committee:Daniele Metilli, University College LondonJohn Samuel, CPE LyonElisavet Koutsiana, King's College LondonHoucemeddine Turki, University of SfaxCristina Sarasua, University of ZurichSeyed Amir Hosseini Beghaeiraveri, Heriot-Watt UniversityThomas Pellissier Tanon, LexistemsDennis Diefenbach, The QA CompanyStefan Heindorf, Paderborn UniversityCristian Consonni, Eurecat Centre Tecnològic de CatalunyaPierre-Henri Paris, Télécom ParisLydia Pintscher, Wikimedia DeutschlandHoang Thang Ta, Singapore University of Technology and DesignDaniel Garijo, Universidad Politécnica de MadrdidFilip Ilievski, University of Southern CaliforniaNiel Chah,