Open and Sovereign Semantic Infrastructure: Convergence between Information Science, Data Science and Artificial Intelligence
DOI:
https://doi.org/10.1590/SciELOPreprints.15856Keywords:
Information Science, Artificial Intelligence, Data Science, Information SovereigntyAbstract
The rise of Artificial Intelligence (AI) in the 21st century has largely been interpreted as a technological revolution centred on algorithms and computational power. However, this approach tends to overlook a crucial structural element: the quality, organisation and semantics of the data underpinning these systems. This article analyses the convergence between Information Science (IS), Data Science (DS) and Artificial Intelligence, arguing that IS constitutes the enabling condition for the effectiveness, reliability and ethics of intelligent systems. The research adopts a qualitative approach, based on a documentary analysis of institutional materials and an interdisciplinary theoretical review. The results show that the relationship between these areas forms a structured value chain, in which IS organises, DS analyses and AI automates, with data as the central element of coordination. The strategic role of the Brazilian Institute of Information in Science and Technology (Ibict) in building a national infrastructure based on knowledge graphs, ontologies and data lakes, which are essential for informational sovereignty, is highlighted. It is concluded that the integration of these areas is indispensable for the development of public AI policies aligned with Open Science, transparency, and scientific and technological development.
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Copyright (c) 2026 Ana Carolina Simionato Arakaki, Washington R. de Carvalho Segundo, Priscila Machado Borges Sena

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