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dc.contributor.authorMACARIO, C. G. N.pt_BR
dc.contributor.authorSANTOS, J. A. dospt_BR
dc.contributor.authorMEDEIROS, C. B.pt_BR
dc.contributor.authorTORRES, R. da S.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2010-10-04pt_BR
dc.date.issued2010pt_BR
dc.identifier.citationIn: WORKSHOP ON GEOGRAPHIC INFORMATION RETRIEVAL, 6, 2010, Zurich. Proceedings... New York: ACM, 2010.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/863469pt_BR
dc.descriptionGeoreferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate. Moreover, annotation requires multidisciplinary collaboration of researchers, with access to heterogeneous and distributed data sources and scientific computations. This paper illustrates our solution to approach this problem by means of a case study in agriculture. It shows how our implementation of a framework to automate the annotation of geospatial data can be used to process real data from remote sensing images and other official Brazilian data sources.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDados geoespaciaispt_BR
dc.subjectImagens de sensoriamento remotopt_BR
dc.subjectAnotação semânticapt_BR
dc.subjectGeorreferenciamentopt_BR
dc.subjectGeospatial datapt_BR
dc.subjectGeospatial standardspt_BR
dc.subjectSemantic annotationpt_BR
dc.titleAnnotating data to support decision-making: a case study.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2011-05-23T11:11:11Zpt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.description.notesGIR'10.pt_BR
dc.format.extent2Não paginado.pt_BR
riaa.ainfo.id863469pt_BR
riaa.ainfo.lastupdate2011-05-23pt_BR
dc.contributor.institutionCARLA GEOVANA DO NASCIMENTO MACARIO, CNPTIA; JEFERSSON A. DOS SANTOS, IC/UNICAMP; CLAUDIA BAUZER MEDEIROS, IC/UNICAMP; RICARDO DA S. TORRES, IC/UNICAMP.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPTIA)

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