@InProceedings{CarnielCifeCife:2015:EmVaSp,
               author = "Carniel, Anderson Chaves and Ciferri, Ricardo Rodrigues and 
                         Ciferri, Cristina Dutra de Aguiar",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade Federal 
                         de S{\~a}o Carlos (UFSCar)} and {Universidade de S{\~a}o Paulo 
                         (USP)}",
                title = "Embedding vague spatial objects into spatial databases using the 
                         VagueGeometry abstract data type",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Fileto, Renato and Korting, Thales Sehn",
                pages = "233--244",
         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 = "Spatial vagueness has been required by geoscientists to handle 
                         vague spatial objects, i.e., spatial objects that do not have 
                         exact locations, strict boundaries, or sharp interiors. However, 
                         there is a gap in the literature in how to handle these objects in 
                         spatial database management systems since they mainly provide 
                         support to crisp spatial objects, i.e., objects that have 
                         well-defined locations, boundaries, and interiors. In this paper, 
                         we fill this gap by proposing VagueGeometry, a novel abstract data 
                         type that handles vague spatial objects, includes an expressive 
                         set of vague spatial operations, and its implementation is open 
                         source. Experimental results show that VagueGeometry improved the 
                         performance of spatial queries with vague topological predicates 
                         from 23% up to 84% if compared with functionalities available in 
                         current spatial databases.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "27 nov. a 02 dez. 2015",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KP38MP",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP38MP",
           targetfile = "proceedings2015_p23.pdf",
        urlaccessdate = "28 abr. 2024"
}