Conferences and other events about knowledge graphs, linked data and related topics

While every effort has been made to keep these listings current, in light of the COVID-19 pandemic always check the linked event site for the most up-to-date information concerning that event.

DBpedia Tutorial at LDK 2021 (Language, Data and Knowledge 2021)

Universidad de Zaragoza Calle de Pedro Cerbuna, 12, Zaragoza

This tutorial is targeted for developers (in particular of DBpedia Chapters) that wish to learn how to replicate local infrastructure such as loading and hosting an own SPARQL endpoint, and will also address the new DBpedia Stack, which contains several dockerized applications that are automatically loading data from the databus.

International Workshop on Archives and Linked Data

Virtual (online event)

The workshop’s goal is to gather researchers and specialists who are engaged in initiatives that cross archives and the semantic web and those planning similar
initiatives in cultural heritage organizations.

BIBFRAME Workshop in Europe 2021

Virtual (online event)

The BIBFRAME Workshop in Europe is a forum focused on BIBFRAME implementation.

NKOS Consolidated Workshop 2021

Virtual (online event)

The 2021 NKOS workshop will explore the potential of Knowledge Organization Systems (KOS) in the context of current developments and possibilities.

First Workshop on Argumentation Knowledge Graphs

Virtual (online event)

The inaugural workshop on Argumentative Knowledge Graphs (ArgKG) will explore the automatic construction of knowledge graphs that encode argumentative knowledge and structures as well as the incorporation of argumentation into factual knowledge graphs, drawing together researchers focusing on natural language processing, automatic knowledge graph construction, and computational analysis of argumentation.

2nd Wikidata Workshop (Wikidata Workshop 2021)

Virtual (online event)

The Wikidata Workshop 2021 brings together the scientific Wikidata community and industry to discuss trends and topics around this collaborative knowledge graph.