ONTOLOGIES AND KNOWLEDGE GRAPHS IN UNIVERSITY PUBLIC MANAGEMENT: IFES-GENIUS-EXT AS A TOOL FOR TRANSPARENCY AND INTELLIGENT AUDITING

Abstract

The article proposes an innovative approach to university public management based on ontologies and knowledge graphs, using the IFES-GENIUS-EXT ontology as a case study. The research is grounded in the METHONTOLOGY and NeOn methodologies, integrating theoretical foundations of Knowledge Engineering and Knowledge Management with practical applications in Federal Higher Education Institutions (IFES). The proposed model aims to improve the representation, interoperability, and reasoning over institutional data related to planning, performance indicators, and financial investments. Through a formal structure expressed in OWL and RDF, the ontology promotes semantic integration among administrative systems, enabling intelligent auditing and greater public transparency. The study also discusses the challenges of semantic governance in university environments, proposing mechanisms for collaborative maintenance and the use of national standards (VCGE, DCAT-AP.br, e-SIC). It is concluded that IFES-GENIUS-EXT represents a significant step toward consolidating the use of Knowledge Graphs in university management, offering support for accountability and intelligent auditing in Brazilian public contexts.