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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
23/09/2010 |
Data da última atualização: |
18/10/2010 |
Autoria: |
AZEVEDO, L. G.; ZIMBRÃO, G.; SOUZA, J. M. de. |
Afiliação: |
LEONARDO GUERREIRO AZEVEDO, URFJ; GERALDO ZIMBRÃO, UFRJ; JANO MOREIRA DE SOUZA, UFRJ. |
Título: |
Approximate query processing in spatial databases using raster signatures. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
In: DAVID JUNIOR, C. A.; MONTEIRO, A. M. V. (Ed.). Advances in Geoinformatics. Berlin: Springer-Verlag, 2007. |
Páginas: |
p. 69-86. |
Idioma: |
Inglês |
Conteúdo: |
This work is concerned with the use of raster signatures in approximate query processing in spatial databases. We extended the proposals of Azevedo et al. (2004, 2005) of using Four-Color Raster Signature (4CRS) (Zimbrao and Souza, 1998) for fast and approximate processing of queries over polygon datasets. We propose several new algorithms for a set of spatial operations that can be processed approximately using 4CRS. 4CRS stores the main data characteristics in an approximate and compact representation that can be accessed and processed faster than real data. By doing so, the exact geometries of objects are not processed during query execution, which is the most costly step of a spatial operation, since it requires to search and to transfer large objects from disk to main storage (Brinkhoff et al., 1994; Lo and Ravishankar, 1996). Also, the exact processing needs to use CPU-time intensive algorithms to decide whether the objects match the query condition (Brinkhoff et al., 1993). As a result, the approximate query answer is returned in a shorter time than the time to return an exact answer. On the other hand, the answer is estimated and not exact, so a precision measure is also returned as a confidence interval that allows the user to decide if the accuracy of the response is sufficient. In general, this approximate answer is enough for many applications. |
Palavras-Chave: |
Database management systems; Query processing in spatial databases; Raster signatures. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02005naa a2200193 a 4500 001 1862813 005 2010-10-18 008 2007 bl uuuu u00u1 u #d 100 1 $aAZEVEDO, L. G. 245 $aApproximate query processing in spatial databases using raster signatures. 260 $c2007 300 $ap. 69-86. 520 $aThis work is concerned with the use of raster signatures in approximate query processing in spatial databases. We extended the proposals of Azevedo et al. (2004, 2005) of using Four-Color Raster Signature (4CRS) (Zimbrao and Souza, 1998) for fast and approximate processing of queries over polygon datasets. We propose several new algorithms for a set of spatial operations that can be processed approximately using 4CRS. 4CRS stores the main data characteristics in an approximate and compact representation that can be accessed and processed faster than real data. By doing so, the exact geometries of objects are not processed during query execution, which is the most costly step of a spatial operation, since it requires to search and to transfer large objects from disk to main storage (Brinkhoff et al., 1994; Lo and Ravishankar, 1996). Also, the exact processing needs to use CPU-time intensive algorithms to decide whether the objects match the query condition (Brinkhoff et al., 1993). As a result, the approximate query answer is returned in a shorter time than the time to return an exact answer. On the other hand, the answer is estimated and not exact, so a precision measure is also returned as a confidence interval that allows the user to decide if the accuracy of the response is sufficient. In general, this approximate answer is enough for many applications. 653 $aDatabase management systems 653 $aQuery processing in spatial databases 653 $aRaster signatures 700 1 $aZIMBRÃO, G. 700 1 $aSOUZA, J. M. de 773 $tIn: DAVID JUNIOR, C. A.; MONTEIRO, A. M. V. (Ed.). Advances in Geoinformatics. Berlin: Springer-Verlag, 2007.
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Embrapa Agricultura Digital (CNPTIA) |
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