About

The project “KnEDLe - Knowledge Extraction from Documents of Legal content” is a partnership among FAPDF (Fundação de Apoio à Pesquisa do Distrito Federal), UnB (the University of Brasília) and Finatec (Fundação de Empreendimentos Científicos e Tecnológicos), sponsored by FAPDF. This project was proposed in order to employ official publications as a research object and to extract knowledge. The objective is to develop intelligent tools for extracting structured information from such publications, aiming to facilitate the search and retrieval of information, increasing government transparency and facilitating audit tasks and detecting problems related to the use of public resources.

DODF page example

Official publications such as the Diário Oficial do Distrito Federal (DODF) are sources of information on all official government acts. Although these documents are rich in knowledge, analysing these texts manually by specialists is a complex and unfeasible task considering the growing volume of documents, the result of the frequent number of publications in the Distrito Federal Government's (GDF) communication vehicle.

This scenario is appropriate to employ computational techniques based on text mining and information visualization, in order to discover implicit and relevant knowledge in large textual data sets. It is known that these computational techniques receive data in a structured format. However, as DODF editions are originally published in unstructured format and in natural language, it is required to use techniques to prepare strategies in order to make the necessary adaptations to apply.




[FAPDF Post] Artificial Intelligence in the extraction of information in the Official Gazette of the DF

Events

Publications

  • LayoutQT—Layout Quadrant Tags to embed visual features for document analysis

    • Patricia Medyna Lauritzen de Lucena Drumond • Lindeberg Pessoa Leite • Fabricio A. Braz • Teofilo E. de Campos

  • Sequence-aware multimodal page classification of Brazilian legal documents

    • Pedro H. Luz de Araujo • Ana Paula G. S. de Almeida • Fabricio A. Braz • Nilton C. da Silva • Flavio de Barros Vidal • Teofilo E. de Campos

  • Aprendizado de maquina para a sugestão automática de correções em anotações de dados textuais

    • Tatiana F. Pereira • Vinícius R. P. Borges

  • See all publications

Tools

Members

Thiago de Paulo Faleiros
Thiago de Paulo Faleiros
Vinicius Ruela Pereira Borges
Vinicius Ruela Pereira Borges
Luis Paulo
Luis Paulo
Andrei Lima Queiroz
Andrei Lima Queiroz
Ricardo Marcondes Marcacin
Ricardo Marcondes Marcacin
Marcelo Grandi Mandelli
Marcelo Grandi Mandelli
Micael Filipe Ribeiro de Lima
Micael Filipe Ribeiro de Lima
Lucelia Vieira
Lucelia Vieira
Carolina Alves Okimoto
Carolina Alves Okimoto
Daniel Sousa
Daniel Sousa
Ian filipe Pontes Ferreira
Ian filipe Pontes Ferreira
Tatiana Franco Pereira
Tatiana Franco Pereira
Jônatas Gomes
Jônatas Gomes
Vitor Vasconcelos
Vitor Vasconcelos
Felipe Xavier
Felipe Xavier
Alice Borges
Alice Borges
Gabriel Nogueira
Gabriel Nogueira
Gabriel Ciriático
Gabriel Ciriático
Alice Lima
Alice Lima
Luís Fernando
Luís Fernando
Artur Hugo
Artur Hugo
Bruno Esteves
Bruno Esteves
Victor Hugo Lisboa
Victor Hugo Lisboa
Lucas de Almeida Bandeira
Lucas de Almeida Bandeira

Collaborators

Fabrício Ataides Braz
Fabrício Ataides Braz
Nilton Correia da Silva
Nilton Correia da Silva
Teófilo Emídio de Campos
Teófilo Emídio de Campos
Lindeberg Pessoa Leite
Lindeberg Pessoa Leite
Patrícia Medyna Drumond
Patrícia Medyna Drumond
José Reinaldo Neto
José Reinaldo Neto
Vitor Araruna
Vitor Araruna
Maria Eduarda
Maria Eduarda
Artur Zorron
Artur Zorron
Guilherme Mendes Pereira
Guilherme Mendes Pereira
Frederico Guth
Frederico Guth
Pedro Henrique Luz de Araújo
Pedro Henrique Luz de Araújo
Davi Alves Bezerra
Davi Alves Bezerra
Felipe Campos de Almeida
Felipe Campos de Almeida
Gabriel Filipe Manso Araujo
Gabriel Filipe Manso Araujo
João Lucas Fragoso Zarbiélli
João Lucas Fragoso Zarbiélli
Renato Avellar Nobre
Renato Avellar Nobre
Khalil Carsten do Nascimento
Khalil Carsten do Nascimento
Leonardo Maffei da Silva
Leonardo Maffei da Silva
Isaque Alves de Lima
Isaque Alves de Lima
Lívia Gomes Costa Fonseca
Lívia Gomes Costa Fonseca
Maicon Queiroz
Maicon Queiroz
Manuela M. C. de Souza
Manuela M. C. de Souza
Larissa Andrade
Larissa Andrade
Thais Rebouças Araujo
Thais Rebouças Araujo
Rafael Amaral
Rafael Amaral
Matheus Stauffer Viana de Oliveira
Matheus Stauffer Viana de Oliveira

Partners

Fundação de Apoio à Pesquisa no Distrito FederalFundação de Empreendimentos Científicos e Tecnológicos
The project “KnEDLe - Knowledge Extraction from Documents of Legal content” is a partnership among FAPDF (Fundação de Apoio à Pesquisa do Distrito Federal), UnB (the University of Brasília) and Finatec (Fundação de Empreendimentos Científicos e Tecnológicos), sponsored by FAPDF.

Contact Us

ask_knedle@googlegroups.com

University of Brasilia, Department of Computer Science

GitHub