Question-based interaction with geolocated data for environmental surveillance by the Brazilian Federal Public Ministry-Reference-Cited by-同舟云学术

Question-based interaction with geolocated data for environmental surveillance by the Brazilian Federal Public Ministry

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance
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Author:

De Bettio Raphael Winckler¹^ORCID,Melchiori Ana Paula¹^ORCID,Freire Andre Pimenta²^ORCID,Albuquerque Ana Carolina³^ORCID,Aguiar Eduardo Henrique de Almeida³^ORCID

Affiliation:

1. Department of Applied Computing, Federal University of Lavras, Brazil

2. Computer Science Departament, Federal University of Lavras, Brazil

3. Federal Prosecutor's Office, Brazil

Funder

Ministério Público Federal

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3614321.3614397

Reference11 articles.

1. Aggeliki Androutsopoulou , Nikos Karacapilidis , Euripidis Loukis , and Yannis Charalabidis . 2019. Transforming the communication between citizens and government through AI-guided chatbots. Government information quarterly 36, 2 ( 2019 ), 358–367. Aggeliki Androutsopoulou, Nikos Karacapilidis, Euripidis Loukis, and Yannis Charalabidis. 2019. Transforming the communication between citizens and government through AI-guided chatbots. Government information quarterly 36, 2 (2019), 358–367.

2. Brazil. 1988. Constituição (Constitution). Available online at https://www.planalto.gov.br/ccivil_03/constituicao/constituicao.htm, last accessed on 5th May 2023 . Brazil. 1988. Constituição (Constitution). Available online at https://www.planalto.gov.br/ccivil_03/constituicao/constituicao.htm, last accessed on 5th May 2023.

3. David Freeman Engstrom , Daniel E Ho , Catherine M Sharkey , and Mariano-Florentino Cuéllar . 2020. Government by algorithm: Artificial intelligence in federal administrative agencies. NYU School of Law , Public Law Research Paper20-54 ( 2020 ). David Freeman Engstrom, Daniel E Ho, Catherine M Sharkey, and Mariano-Florentino Cuéllar. 2020. Government by algorithm: Artificial intelligence in federal administrative agencies. NYU School of Law, Public Law Research Paper20-54 (2020).

4. Ministério Público Federal . 2023. Sobre o Ministério Público Federal (About the Federal Public Ministry). Available online at https://www.mpf.mp.br/o-mpf/sobre-o-mpf, last accessed on 5th May 2023 . Ministério Público Federal. 2023. Sobre o Ministério Público Federal (About the Federal Public Ministry). Available online at https://www.mpf.mp.br/o-mpf/sobre-o-mpf, last accessed on 5th May 2023.

5. Interoperability in Electronic Government