activity
20192025
most citedArCo: the Italian Cultural Heritage Knowledge Graph

118 citations · 217 across the 11 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…

cs.AI2021★ 4 cited

An Ontology Design Pattern for representing Recurrent Situations

Valentina Anita Carriero, Aldo Gangemi, Andrea Giovanni Nuzzolese +1

In this paper, we present an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant factors, which unify them conceptually: we r…

cs.AI2020★ 1 cited

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…

cs.AI2020★ 18 cited

The Landscape of Ontology Reuse Approaches

Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi +4

Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. Ho…

cs.AI2019★ 56 cited

Pattern-based design applied to cultural heritage knowledge graphs

Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli +3

Ontology Design Patterns (ODPs) have become an established and recognised practice for guaranteeing good quality ontology engineering. There are several ODP repositories where ODPs…

cs.AI2019★ 118 cited

ArCo: the Italian Cultural Heritage Knowledge Graph

Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli +4

ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities. It is distributed…

cs.DB2019★ 1 cited

Linked Open Data Validity -- A Technical Report from ISWS 2018

Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam +68

Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially a…