8 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…
Ontology-Compliant Knowledge Graphs
Zhangcheng Qiang
Ontologies can act as a schema for constructing knowledge graphs (KGs), offering explainability, interoperability, and reusability. We explore \emph{ontology-compliant} KGs, aiming…
A Systematic Comparison and Evaluation of Building Ontologies for Deploying Data-Driven Analytics in Smart Buildings
Zhangcheng Qiang, Stuart Hands, Kerry Taylor +5
Ontologies play a critical role in data exchange, information integration, and knowledge sharing across diverse smart building applications. Yet, semantic differences between the p…
Ontology Interoperability: A Comprehensive Framework for Industrial-Scale Applications
Zhangcheng Qiang
Different ontologies with conflicting and overlapping concepts cause havoc in the design, develop, and deploy of ontology-driven applications. In this work, we propose a comprehens…
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…