@InProceedings{AssisHerSteHorAlb:2015:ApFl,
               author = "Assis, Luiz Fernando F. G. de and Herfort, Benjamin and Steiger, 
                         Enrico and Horita, Fl{\'a}vio E. A. and Albuquerque, Jo{\~a}o 
                         Porto de",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Universidade de S{\~a}o Paulo (USP)} and {Heidelberg 
                         University}",
                title = "Geographical prioritization of social network messages in near 
                         real-time using sensor data streams: an application to floodsp",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Fileto, Renato and Korting, Thales Sehn",
                pages = "26--37",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Social networks have been used to overcome the problem of 
                         incomplete official data, and provide a more detailed description 
                         of a disaster. However, the filtering of relevant messages 
                         on-the-fly remains challenging due to the large amount of 
                         misleading, outdated or inaccurate information. This paper 
                         presents an approach for the automated geographic prioritization 
                         of social networks messages for flood risk management based on 
                         sensor data streams. It was evaluated using data from Twitter and 
                         monitoring agencies of different countries. The results revealed 
                         that the proposed approach has a potential to identify valuable 
                         flood-related messages in near real-time.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "27 nov. a 02 dez. 2015",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KP2T4E",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP2T4E",
           targetfile = "proceedings2015_p3.pdf",
        urlaccessdate = "28 abr. 2024"
}