Information Visualization:
Typologies and Functions Aligned with Distinct Purposes
DOI:
https://doi.org/10.17533/udea.rib.v49n1e362733Keywords:
information visualization, functional visualization typologies, artificial intelligence–assisted visualization, library and information science (lis), knowledge organization systems, digital libraries, bibliometric analysisAbstract
This article conceptualizes information visualization as an epistemic and mediating device within Library and Information Science (LIS), emphasizing its role in contemporary data-intensive and AI-supported information environments. Rather than treating visualization as a neutral graphical artifact, the study frames visual representations as functional instruments, systematizing 60 typologies into 16 categories that shape interpretation, decision-making, and knowledge organization. Based on the Data Visualization Catalogue by Severino Ribecca, the article systematizes 60 visualization typologies and reorganizes them into 16 functional categories aligned with distinct communicative purposes. Furthermore, the study discusses how this functional framework can support artificial intelligence–assisted visualization processes, including automated selection of visualization types, semantic mediation of metadata, and adaptive visual interfaces in digital libraries, bibliometric systems, and open science infrastructures. The proposed functional mapping model offers both a theoretical reference and an applied orientation for researchers, librarians, designers, and information professionals.
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