Estensione ontologica di Ontopia e linked data per la trasparenza retributiva: recepire la direttiva UE 2023/970 nei sistemi informativi della P.A.

This thesis addresses the need for a formal, interoperable, and semantically consistent representation of salary data within the Italian Public Administration, in light of the requirements introduced by Directive (EU) 2023/970 on pay transparency and gender pay gap reporting. The work proposes an ontological extension of the OntoPiA ecosystem to model remuneration data, including salary components, employment contexts, and advanced indicators. The proposed model introduces key entities such as SalaryRecord and SalaryComponent to represent the multidimensional nature of remuneration, linking individuals, roles, organizational units, contracts, and temporal dimensions. It also incorporates structures for defining and calculating pay-related indicators, ensuring compliance with European reporting obligations. The approach emphasizes interoperability by aligning with existing ontologies (e.g., CPV, COV, RO) and W3C standards such as RDF, SKOS, PROV-O, SHACL, and DCAT. A prototype implementation in JSON-LD demonstrates the feasibility of integrating semantic technologies into existing Public Administration systems, enabling both data publication and advanced analytics through SPARQL queries. The results show that the proposed extension improves data comparability, transparency, and auditability, while supporting automated reporting and integration with business intelligence systems. The thesis highlights the role of semantic technologies in bridging regulatory requirements and data governance, contributing to a more transparent, data-driven, and interoperable Public Administration.