Artificial Intelligence for Retrieving Open Data: reflections and propositions for the user experience on the Brazilian Open Data Portal

• Autor(a) principal: Teixeira de Oliveira, Danielle
• Data de Publicação: 2024
• Outros Autores: Nascimento Silva, Patrícia, Cesar Mafra Pereira, Frederico
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Brazilian Journal of Information Science
• Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/15462
• topic: Artificial intelligence; Information retrieval; open data; open government data; Information users; Inteligência Artificial; Recuperação de informação; Dados abertos; Dados governamentais abertos; Usuários de informação

In the so-called Data Era, one of the characteristics of society is the high involvement with technology and the great availability of information in the most diverse formats. Some of this information refers specifically to open government and public management data, generated by government administration, which is called Open Government Data (OGD). Due to the importance attributed to these data sets and their enormous volume, it is a challenge to implement an information retrieval system that meets the needs of different users. This research aimed to analyze artificial intelligence techniques to improve the user experience in recovering OGD on the Brazilian Open Data Portal, which is the official instrument for making open data available from the Federal Public Administration. To achieve this objective, descriptive and exploratory research was carried out, with qualitative analysis, using bibliographical and documentary research techniques and direct observation. It was concluded that the Portal presents gaps in information retrieval that compromise user satisfaction and the use of artificial intelligence techniques represents a real possibility to resolve the identified demands.