activity
20202026
most citedImproving Ontology Requirements Engineering with OntoChat and Participatory Prompting

6 citations · 16 across the 7 of their papers we have counts for

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5 papers · 1 filter

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

Competency Questions as Executable Plans: a Controlled RAG Architecture for Cultural Heritage Storytelling

Naga Sowjanya Barla, Jacopo de Berardinis

The preservation of intangible cultural heritage is a critical challenge as collective memory fades over time. While Large Language Models (LLMs) offer a promising avenue for gener…

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.AI2024

A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities

Gianluca Apriceno, Valentina Tamma, Tania Bailoni +2

The ability to reason with and integrate different sensory inputs is the foundation underpinning human intelligence and it is the reason for the growing interest in modelling multi…

cs.AI2024★ 5 cited

OntoChat: a Framework for Conversational Ontology Engineering using Language Models

Bohui Zhang, Valentina Anita Carriero, Katrin Schreiberhuber +4

Ontology engineering (OE) in large projects poses a number of challenges arising from the heterogeneous backgrounds of the various stakeholders, domain experts, and their complex i…