"Enriching @Wikidata with Linked Open Data" a novel workflow that includes gap detection, source selection, schema alignment, and semantic validation. (Zhang et al, 2022) arxiv.org/pdf/2207.00143…

Check our work about knowledge graph enrichment in the Community section here👇🏼

This has been one of the most inspiring research events I've attended in many years! We'll publish a report soon, so stay tuned. Congratulations to all participants for some amazing projects on #llms and #knowledgegraphs.

"Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata" (Zhang et al, 2023) paper: arxiv.org/pdf/2309.08491… code: github.com/bohuizhang/LLM… Elena Simperl

Bohui Zhang from King's College London is presenting his work on LLMKE: Using large language models for knowledge engineering at LM-KBC Challenge and KBC-LM workshop @ ISWC 2024 #iswc2023

Congratulations to the winners of the #SemanticWebChallenge LM-KBC:Knowledge Base Construction from Pretrained Language Models Web Winner. TR-1 Winners: Dong Yang, Xu Wang, Remzi Celebi TR-2 Winners: Bohui Zhang, Ioannis Reklos, Nitisha Jain, Albert Meroño-Peñuela, Elena Simperl

We're seeking #Wikidata editors to help us design user-friendly interfaces for tools to enhance daily editing tasks. Join us online on April 5th for the WQT UI requirements elicitation workshop! 🛠️🖥️ 🗓️ Date: 5/4/2024 ⏰ Time: To be confirmed 🔗 Register for free:

📄Call for Papers! Join us at the 1st ELMKE Workshop at #EKAW24 in Amsterdam! 📅Submit your work on evaluating language models in knowledge engineering by Sept 17, 2024. More info: sites.google.com/view/elmke