4 documents found, page 1 of 1
Named entity recognition for sensitive data discovery in Portuguese
Dias, M.; Boné, J.; Ferreira, J.; Ribeiro, R.; Maia, R.The process of protecting sensitive data is continually growing and becoming increasingly important, especially as a result of the directives and laws imposed by the European Union. The effort to create automatic systems is continuous, but, in most cases, the processes behind them are still manual or semi-automatic. In this work, we have developed a component that can extract and classify sensitive data, from u...
DisBot: a portuguese disaster support dynamic knowledge chatbot
Boné, J.; Ferreira, J. C.; Ribeiro, R.; Cadete, G.This paper presents DisBot, the first Portuguese speaking chatbot that uses social media retrieved knowledge to support citizens and first-responders in disaster scenarios, in order to improve community resilience and decision-making. It was developed and tested using Design Science Research Methodology (DSRM), being progressively matured with field specialists through several design and development iterations....
Digital twins para sustentabilidade e gestão de acidentes
Resende, R. P.; Mataloto, B.; Dias, L.; Ferreira, J. C.; Rato, V.; Boné, J.Os modelos BIM são maioritariamente gerados e usados no contexto do projeto e construção. Contudo, a informação que contêm é cada vez mais utilizada na gestão dos edifícios e cidade. Este trabalho descreve o desenvolvimento de ferramentas baseadas em modelos BIM que são enquadradas no conceito de Smart City. Estas aplicações contêm informação geométrica e funcional da construção e trocam dados com outras fontes...
DisKnow: a social-driven disaster support knowledge extraction system
Boné, J.; Dias, M.; Ferreira, J. C.; Ribeiro, R.This research is aimed at creating and presenting DisKnow, a data extraction system with the capability of filtering and abstracting tweets, to improve community resilience and decision-making in disaster scenarios. Nowadays most people act as human sensors, exposing detailed information regarding occurring disasters, in social media. Through a pipeline of natural language processing (NLP) tools for text proces...