@InProceedings{FookAmaMonCâmCas:2008:CaStBi,
               author = "Fook, karla Donato and Amaral, Silvana and Monteiro, Ant{\^o}nio 
                         Miguel Vieira and C{\^a}mara, Gilberto and Casanova, Marco 
                         Antonio",
          affiliation = "{Centro Federal de Educa{\c{c}}{\~a}o Tecnol{\'o}gica do 
                         Maranh{\~a}o (CEFET–MA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)}",
                title = "Sharing executable models through an Open Architecture based on 
                         Geospatial Web Services: a Case Study in Biodiversity Modelling",
            booktitle = "Anais...",
                 year = "2008",
               editor = "Carvalho, Marcelo T{\'{\i}}lio Monteiro de and Gattass, Marcelo 
                         and Casanova, Marco Ant{\^o}nio and Vinhas, L{\'u}bia",
                pages = "37--49",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 10. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Biodiversity researchers develop predictive models for species 
                         occurrence and distribution which are useful for biodiversity 
                         conservation policies. Species distribution modelling tools need 
                         to locate and access large amount of data in different sources and 
                         produces results from different algorithms. In this scenario, 
                         collaboration is an essential feature to improve this research 
                         area. Scientists need to share models, data and results to get new 
                         discoveries. This paper presents advances in Web Biodiversity 
                         Collaborative Modelling Services (WBCMS) development. These 
                         services support sharing of modelling results and information 
                         about its generation. WBCMS also enable researcher to make new 
                         experiments based in previous one. Scientists can use WBCMS to 
                         compare experiments, to make new inferences and to improve their 
                         studies. A case study explains the model instance usage.",
  conference-location = "Rio de Janeiro",
      conference-year = "2008",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KJKEMS",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KJKEMS",
           targetfile = "proceedings_geoinfo2008.47_60.pdf",
        urlaccessdate = "09 maio 2024"
}