From the 1 of 6 linked papers with an AI index.
4 citations · 4 across the 3 of their papers we have counts for
6 papers
OM4OV: Leveraging Ontology Matching for Ontology Versioning
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang
The paper analyzes how ontology matching techniques can be adapted for ontology versioning and introduces the OM4OV framework with a cross‑reference mechanism to improve versioning…
Agent-OM: Leveraging LLM Agents for Ontology Matching
Zhangcheng Qiang, Weiqing Wang, Kerry Taylor
Ontology matching (OM) enables semantic interoperability between different ontologies and resolves their conceptual heterogeneity by aligning related entities. OM systems currently…
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…
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…
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…
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…