@InProceedings{AlbuquerqueBarbCasaCarv:2012:GeFaRo,
               author = "Albuquerque, F{\'a}bio da Costa and Barbosa, Ivanildo and 
                         Casanova, Marco Antonio and Carvalho, Marcelo T{\'{\i}}lio 
                         Monteiro de",
          affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do 
                         Rio de Janeiro (PUC-Rio)} and {Pontif{\'{\i}}cia Universidade 
                         Cat{\'o}lica do Rio de Janeiro (PUC-Rio)} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)}",
                title = "Georeferencing facts in road networks",
            booktitle = "Anais...",
                 year = "2012",
               editor = "Namikawa, La{\'e}rcio Massaru and Bogorny, Vania",
                pages = "120--127",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 13. (GEOINFO).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Information about a location can be imprecise and context 
                         dependent. This is especially true for road networks, where some 
                         streets are long or two-way, and just the name of a street may 
                         represent low-value information for certain applications. To 
                         improve precision, geocoding commonly includes the number of a 
                         building on a street, the highway location, often indicated in 
                         kilometers, or the postal code in a town or city. One can also 
                         improve the description of a location using spatial attributes, 
                         because they are familiar concepts for humans. This article 
                         outlines a model to precisely georeference locations, using 
                         geocoding and routing services and considering the natural 
                         attributes used by humans regarding locations.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "25-27 nov. 2012",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGP8W/3D62AJ8",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3D62AJ8",
           targetfile = "albuquerque.pdf",
                 type = "Distributed GIS / GIS and Internet - Full papers",
        urlaccessdate = "18 maio 2024"
}