@InProceedings{CarvalhoJesuAraú:2013:ExSiIn,
               author = "Carvalho, Silvana S{\'a} de and Jesus, Arnaldo Bispo de and 
                         Ara{\'u}jo, Ane Gleide da Concei{\c{c}}{\~a}o de",
                title = "Utiliza{\c{c}}{\~a}o de SIG M{\'o}vel para 
                         constru{\c{c}}{\~a}o de filtros din{\^a}micos a partir de dados 
                         espaciais - Uma extens{\~a}o para o Sistema de 
                         Informa{\c{c}}{\~o}es Geogr{\'a}ficas Aplicado ao Policiamento 
                         Ambiental (SIGAPA)",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6938--6944",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The dynamic database model proposed by Ka-Wai Kwan and Wen-zhong 
                         Shi in the article A Study of Dynamic Mobile GIS Database presents 
                         a new conceptual model from a dataset spatial temporal GIS adapted 
                         for mobile composing so a dynamic database. This approach once 
                         implemented, will allow object-relational models to adapt 
                         dynamically to user-supplied data such as velocity and location, 
                         this feature is potentially useful when dealing with people with 
                         mobile devices like tablets and pdas. Conceptually databases are 
                         known to have rigid structures pre-defined and strongly typed. On 
                         one hand these features help enable the systematization and 
                         reliability in data integrity, on the other hand limit the storage 
                         process, query and retrieval of data in the sense that the whole 
                         process must meet the model previously defined. This feature 
                         limits the creation of filters and dynamic views of the data 
                         necessary resources when it comes to data acquisition in real time 
                         especially if the consumer using these data are precision systems 
                         such as mobile gis. From the results obtained in tests conducted 
                         by the authors infer that the response time for queries in 
                         conventional databases tends to increase proportionally larger the 
                         size of the records persisted while the response time can be 
                         significantly reduced by a base dynamic data similar to that 
                         proposed. This scenario is ideal for the nature of the application 
                         presented in this paper.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "855",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GGD9",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GGD9",
           targetfile = "p0855.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "13 maio 2024"
}