Large language models na ciência da informação: perspectivas técnicas da inteligência artificial aplicadas à organização e à arquitetura da informação(Large language models in information science: perspectives on information organisation and architecture)
DOI:
https://doi.org/10.47989/ir31iConf64289Keywords:
Ciência da informação, Organização da informação, Arquitetura da informação, Inteligência artificial, Large Language modelsAbstract
Introduction. Despite the popularity of large language models, there are still gaps in understanding how information is organised, represented and structured within these systems. Thus, this study sought to identify and analyse aspects of information science (IS) in LLMs.
Method. This is a bibliographic study with a qualitative approach, conducted through a rigorous protocol applied to the ACM digital library, ScienceDirect, Scopus and Web of Science databases.
Analysis. A total of 53 studies published between 2022 and 2025 were examined, from which 16 categories of artificial intelligence techniques applied in LLMs were identified.
Results. These techniques were related to the four information architecture systems: organisation, labeling, navigation and search, and to classical instruments of information organisation, highlighting the convergence between principles of IS and AI innovations.
Conclusions. The articulation between information architecture and information organisation provides conceptual and practical foundations to understand how LLMs structure, represent and make data available. The study points to future research directions, reinforces the relevance of IS in the debate on AI and highlights the role of information professionals in critically mediating between technology and society.
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