collaborators

6 papers

cs.AI2026

Characterising LLM-Generated Competency Questions: a Cross-Domain Empirical Study using Open and Closed Models

Reham Alharbi, Valentina Tamma, Terry R. Payne +1

Competency Questions (CQs) are a cornerstone of requirement elicitation in ontology engineering. CQs represent requirements as a set of natural language questions that an ontology…

cs.AI2026

The AnIML Ontology: Enabling Semantic Interoperability for Large-Scale Experimental Data in Interconnected Scientific Labs

Wilf Morlidge, Elliott Watkiss-Leek, George Hannah +7

Achieving semantic interoperability across heterogeneous experimental data systems remains a major barrier to data-driven scientific discovery. The Analytical Information Markup La…

cs.AI2026

IDEA2: Expert-in-the-loop competency question elicitation for collaborative ontology engineering

Elliott Watkiss-Leek, Reham Alharbi, Harry Rostron +6

Competency question (CQ) elicitation represents a critical but resource-intensive bottleneck in ontology engineering. This foundational phase is often hampered by the communication…

cs.AI2025

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation

George Hannah, Jacopo de Berardinis, Terry R. Payne +7

A large volume of XML data is produced in experiments carried out by robots in laboratories. In order to support the interoperability of data between labs, there is a motivation to…

cs.CL2025

A Comparative Study of Competency Question Elicitation Methods from Ontology Requirements

Reham Alharbi, Valentina Tamma, Terry R. Payne +1

Competency Questions (CQs) are pivotal in knowledge engineering, guiding the design, validation, and testing of ontologies. A number of diverse formulation approaches have been pro…

cs.CL2025

Evaluating the Fitness of Ontologies for the Task of Question Generation

Samah Alkhuzaey, Floriana Grasso, Terry R. Payne +1

Ontology-based question generation is an important application of semantic-aware systems that enables the creation of large question banks for diverse learning environments. The ef…