works on

From the 1 of 9 linked papers with an AI index.

most citedAgent-OM: Leveraging LLM Agents for Ontology Matching

4 citations · 4 across the 7 of their papers we have counts for

collaborators

9 papers

cs.AI2026

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…

cs.IR2026

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…

cs.AI20264 cited

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…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2026

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…