activity
20222026
most citedAutomatically Drafting Ontologies from Competency Questions with FrODO

4 citations · 8 across the 11 of their papers we have counts for

collaborators
Showing cs.AIShow all

8 papers · 1 filter

cs.AI2026

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

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Stefan Schmid +5

Ontology extension refers to the process of enriching an existing ontology in response to emerging requirements, making it more complete. This task is a resource-intensive and erro…

cs.AI2026

When CQs Go Wrong: Challenges in CQ Verification with OE-Assist

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +3

Competency Questions (CQs) are the central component of CQ-verification, an established process in which an ontology is evaluated against a set of natural language questions to det…

cs.AI2025

The Belief-Desire-Intention Ontology for modelling mental reality and agency

Sara Zuppiroli, Carmelo Fabio Longo, Anna Sofia Lippolis +6

The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, s…

cs.AI2025★ 3 cited

Large Language Models Assisting Ontology Evaluation

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +3

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

cs.AI2025

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

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisarkka +3

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-specif…

cs.AI2025

Enhancing multimodal analogical reasoning with Logic Augmented Generation

Anna Sofia Lippolis, Andrea Giovanni Nuzzolese, Aldo Gangemi

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

cs.AI2025★ 1 cited

Ontology Generation using Large Language Models

Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä +5

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…

cs.AI2022★ 4 cited

Automatically Drafting Ontologies from Competency Questions with FrODO

Aldo Gangemi, Anna Sofia Lippolis, Giorgia Lodi +1

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