6 citations · 17 across the 5 of their papers we have counts for
5 papers
Schema Generation for Large Knowledge Graphs Using Large Language Models
Bohui Zhang, Yuan He, Lydia Pintscher +2
Schemas play a vital role in ensuring data quality and supporting usability in the Semantic Web and natural language processing. Traditionally, their creation demands substantial i…
Improving Ontology Requirements Engineering with OntoChat and Participatory Prompting
Yihang Zhao, Bohui Zhang, Xi Hu +6
Past ontology requirements engineering (ORE) has primarily relied on manual methods, such as interviews and collaborative forums, to gather user requirements from domain experts, e…
Knowledge Prompting: How Knowledge Engineers Use Large Language Models
Elisavet Koutsiana, Johanna Walker, Michelle Nwachukwu +3
Despite many advances in knowledge engineering (KE), challenges remain in areas such as engineering knowledge graphs (KGs) at scale, keeping up with evolving domain knowledge, mult…
OntoChat: a Framework for Conversational Ontology Engineering using Language Models
Bohui Zhang, Valentina Anita Carriero, Katrin Schreiberhuber +4
Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex i…
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
Bohui Zhang, Ioannis Reklos, Nitisha Jain +2
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 subject and…