5 papers
Crowd-OM: Crowdsourcing for Ontology Matching Validation
Zhangcheng Qiang, Weiqing Wang, Kerry Taylor
Recent advances in large language models (LLMs) pose new challenges for ontology matching (OM). While OM systems built on LLMs have shown remarkable capabilities in discovering mor…
OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang +1
Hallucinations are often inevitable in downstream tasks using large language models (LLMs). To tackle the substantial challenge of addressing hallucinations for LLM-based ontology…
How Does A Text Preprocessing Pipeline Affect Ontology Matching?
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang
The classical text preprocessing pipeline, comprising Tokenisation, Normalisation, Stop Words Removal, and Stemming/Lemmatisation, has been implemented in many systems for ontology…
OM4OV: Leveraging Ontology Matching for Ontology Versioning
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang
Due to the dynamics of the Semantic Web, version control is necessary to manage changes in widely used ontologies. Despite the long-standing recognition of ontology versioning (OV)…
OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang +1
Hallucinations of large language models (LLMs) commonly occur in domain-specific downstream tasks, with no exception in ontology matching (OM). The prevalence of using LLMs for OM…