2 resultados para Government,
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo
Resumo:
Interoperability is a crucial issue for electronic government due to the need of agencies' information systems to be totally integrated and able to exchange data in a seamless way. A way to achieve it is by establishing a government interoperability framework (GIF). However, this is a difficult task to be carried out due not only to technological issues but also to other aspects. This research is expected to contribute to the identification of the barriers to the adoption of interoperability standards for electronic government. The article presents the preliminary findings from a case study of the Brazilian Government framework (e-PING), based on the analyses of documents and face-to-face interviews. It points out some aspects that may influence the establishment of these standards, becoming barriers to their adoption.
Resumo:
With the increasing production of information from e-government initiatives, there is also the need to transform a large volume of unstructured data into useful information for society. All this information should be easily accessible and made available in a meaningful and effective way in order to achieve semantic interoperability in electronic government services, which is a challenge to be pursued by governments round the world. Our aim is to discuss the context of e-Government Big Data and to present a framework to promote semantic interoperability through automatic generation of ontologies from unstructured information found in the Internet. We propose the use of fuzzy mechanisms to deal with natural language terms and present some related works found in this area. The results achieved in this study are based on the architectural definition and major components and requirements in order to compose the proposed framework. With this, it is possible to take advantage of the large volume of information generated from e-Government initiatives and use it to benefit society.