activity
20192025
most citedThe Landscape of Ontology Reuse Approaches

18 citations · 43 across the 9 of their papers we have counts for

collaborators

12 papers

cs.AI2025★ 1 cited

Procedural Knowledge Ontology (PKO)

Valentina Anita Carriero, Mario Scrocca, Ilaria Baroni +2

Processes, workflows and guidelines are core to ensure the correct functioning of industrial companies: for the successful operations of factory lines, machinery or services, often…

cs.AI2024★ 8 cited

Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models

Valentina Anita Carriero, Antonia Azzini, Ilaria Baroni +2

Procedural Knowledge is the know-how expressed in the form of sequences of steps needed to perform some tasks. Procedures are usually described by means of natural language texts,…

cs.DB2024★ 5 cited

Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources

Mario Scrocca, Marco Grassi, Marco Comerio +4

The integrated exploitation of data sources in the mobility domain is key to providing added-value services to passengers, transport companies and authorities. Indeed, multiple sta…

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…

cs.IR2023

The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata

Jacopo de Berardinis, Valentina Anita Carriero, Albert Meroño-Peñuela +2

The semantic description of music metadata is a key requirement for the creation of music datasets that can be aligned, integrated, and accessed for information retrieval and knowl…

cs.AI2021

Extraction of common conceptual components from multiple ontologies

Luigi Asprino, Valentina Anita Carriero, Valentina Presutti

Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual compone…