A very relevant problem in e-government is that a great amount of knowledge is in natural language unstructured documents. If that knowledge was stored using a computer-processable representation it would be more easily accessed. In this paper we present the architecture, modules and initial results of a prototype under development for extracting information from government documents. The prototype stores the i...
In this paper we present a system that automatically extracts and geocodes named entities from unstructured, natural language textual documents. The system uses the Geo-Net-PT ontology and Google maps as auxiliary data sources. This type of system is particularly useful to automate the geocoding of existing information in e-government applications, which usually requires human intervention. Within the paper we ...
Neste artigo propomos uma plataforma genérica para a integração de serviços na administração pública. Trata-se de uma plataforma simples, versátil e segura, que se baseia em tecnologias normalizadas e facilmente disponíveis, como sejam o XML (Extensible Markup Language), o HTTP (Hypertext Transfer Protocol), o SSL (Secure Sockets Layer) e o PKI. (Public Key Infrastructure). A plataforma facilita a integração na...
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