This paper proposed a novel privacy model for Electronic Health Records (EHR) systems
utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It …

Abstract 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 …

Abstract The International Data Spaces initiative (IDS) is building an ecosystem to facilitate
data exchange in a secure, trusted, and semantically interoperable way. It aims at providing …

Abstract The GDPR (GDPR, REGULATION (EU) 2016/679 OF THE EUROPEAN
PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of natural persons …

Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …

This paper introduces PrOnto, the privacy ontology that models the GDPR main conceptual
cores: data types and documents, agents and roles, processing purposes, legal bases …

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

In the last decade, ontologies have become widely adopted in a variety of fields ranging
from biomedicine, to finance, engineering, law, and cultural heritage. The ontology …

In the music domain, several ontologies have been proposed to annotate musical data, in
both symbolic and audio form, and generate semantically rich Music Knowledge Graphs …

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