activity
20162026
most citedArCo: the Italian Cultural Heritage Knowledge Graph

118 citations · 378 across the 23 of their papers we have counts for

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13 papers · 1 filter

cs.AI2026

An ontology for cross-sectoral crisis management: core and public health modules

Aldo Gangemi, Rita T. Sousa, Luigi Asprino +6

This paper presents the European Crisis Management Ontology (ECMO), a modular OWL-based ontology intended as a cross-sectoral reference for disaster risk reduction and response. EC…

cs.AI2024★ 1 cited

Explainable Moral Values: a neuro-symbolic approach to value classification

Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1

This work explores the integration of ontology-based reasoning and Machine Learning techniques for explainable value classification. By relying on an ontological formalization of m…

cs.AI2023★ 1 cited

The Music Annotation Pattern

Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri +1

The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature. Numerous systems and conventions for…

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.AI2020★ 19 cited

A Reference Software Architecture for Social Robots

Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese +2

Social Robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guar…

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★ 4 cited

SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems

Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti +1

Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been scarcely…

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.AI2018

Semantic Role Labeling for Knowledge Graph Extraction from Text

Mehwish Alam, Aldo Gangemi, Valentina Presutti +1

This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph. It performs dependency parsing, identifies the wor…

cs.AI2018

Empirical Analysis of Foundational Distinctions in Linked Open Data

Luigi Asprino, Valerio Basile, Paolo Ciancarini +1

The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from i…