On the Use of Large Language Models for Schema Mapping Generation in Ontology-Based Data Integration

Exploiting Mapping Corpora and Expert Knowledge for LLM-based Schema Mapping Generation

OntoExtend: A Framework for Requirement-driven and Scalable Ontology Extension with LLMs

The results suggest that OntoExtend is useful as a drafting assistant for requirement-driven ontology extension in real world scenarios, while remaining sensitive to CQ specificity and modelling profile.

From Rule Engines to Ontologies: An OWL 2 DL Approach for Domain-Specific Evaluation Information Systems

The results support the feasibility of ontology-driven generation for static-classification systems, whereas arithmetic risk computation and temporal event processing remain better suited to complementary procedural technologies.

A Workflow-Based Approach for Metadata Interoperability via Domain-Specific Schema Mapping to DataCite

This study contributes a systematic workflow for metadata mapping and provides empirical evidence on the limitations of current metadata standardization practices, supporting future efforts toward improved cross-domain metadata interoperability.

Authors’ responses to the feedback of the reviewers Paper: From Manual to LLM-assisted: A Mapping Review on Ontology Construction Methods

The goal of this work is to put into context recent updates in ontology engineering and present the necessary additional information targeted to reuse by providing an updated overview and proposing a two-tier categorisation, believed to be the first review to offer such an intra-category classification.

Reducing Human Effort in Ontology-Based Data Integration: An LLM-Assisted Mapping Pipeline

LAMP (LLM-Assisted Mapping Pipeline), a novel approach that leverages Large Language Models (LLMs) to assist the mapping process in OBDI, is introduced, demonstrating significant improvements in F1-scores–particularly in complex mapping scenario–compared to single-prompt approach.