Anna Sofia Lippolis

Ontology Generation using Large Language Models

The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language Models (LLMs) to...

Large Language Models Assisting Ontology Evaluation

Ontology evaluation through functional requirements, such as testing via competency question (CQ) verification, is a well-established yet costly, labour-intensive, and error-prone endeavour, even...

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

Large Language Models (LLMs) have shown significant potential for ontology engineering. However, it is still unclear to what extent they are applicable to the task of domain-specific ontology...

Bench4KE: Benchmarking Automated Competency Question Generation

The availability of Large Language Models (LLMs) presents a unique opportunity to reinvigorate research on Knowledge Engineering (KE) automation. This trend is already evident in recent efforts...

The Water Health Open Knowledge Graph

Recently, an increasing interest in the management of water and health resources has been recorded. This interest is fed by the global sustainability challenges posed to the humanity that have...

Enhancing multimodal analogical reasoning with Logic Augmented Generation

Recent advances in Large Language Models have demonstrated their capabilities across a variety of tasks. However, automatically extracting implicit knowledge from natural language remains a...

Semantic Web and Creative AI -- A Technical Report from ISWS 2023

The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort performed by ten...

Automatically Drafting Ontologies from Competency Questions with FrODO

We present the Frame-based ontology Design Outlet (FrODO), a novel method and tool for drafting ontologies from competency questions automatically. Competency questions are expressed as natural...

Pattern-based design for modelling an ontology network in the water and health domains

Ontology Generation Using Large Language Models

Ontogenia: Ontology Generation with Metacognitive Prompting in Large Language Models

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

Bench4KE: Benchmarking Automated Competency Question Generation

Enhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs

Meanings are like Onions: a Layered Approach to Metaphor Processing

FrODO: Generating Ontologies from Competency Questions in One Click

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

From Fact to Feeling: Narrative Knowledge Graphs for Human-AI Interaction