Título:	Annotating data to support decision-making: a case study.
Autoria:	MACARIO, C. G. N. SANTOS, J. A. dos MEDEIROS, C. B. TORRES, R. da S.
Afiliação:	CARLA GEOVANA DO NASCIMENTO MACARIO, CNPTIA; JEFERSSON A. DOS SANTOS, IC/UNICAMP; CLAUDIA BAUZER MEDEIROS, IC/UNICAMP; RICARDO DA S. TORRES, IC/UNICAMP.
Ano de publicação:	2010
Referência:	In: WORKSHOP ON GEOGRAPHIC INFORMATION RETRIEVAL, 6, 2010, Zurich. Proceedings... New York: ACM, 2010.
Páginas:	Não paginado.
Conteúdo:	Georeferenced 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.
NAL Thesaurus:	Remote sensing
Palavras-chave:	Dados geoespaciais Imagens de sensoriamento remoto Anotação semântica Georreferenciamento Geospatial data Geospatial standards Semantic annotation
Notas:	GIR'10.
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPTIA)