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Registros recuperados : 89 | |
43. | | MARTINS, E. de S.; CARVALHO JÚNIOR, O. A. de; SOUZA, V. V. de; COUTO JÚNIOR, A. F.; OLIVEIRA, S. N. de; GOMES, R. A. T.; REATTO, A. Relação solo-relevo em vertentes assimétricas no Parque Nacional da Serra dos Órgãos, RJ. Revista Brasileira de Geomorfologia, v. 8, n. 1, p. 45-62, 2007. Biblioteca(s): Embrapa Cerrados. |
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44. | | FARIAS, M. F. R.; CARVALHO JÚNIOR, O. A. de; MARTINS, E. de S.; GOMES, R. A. T.; CARVALHO, A. P. F. de; BRAGA, A. R. dos S. Relação entre os solos e fitofisionomias do Parque Nacional de Brasília, DF. Planaltina, DF: Embrapa Cerrados, 2008. 55 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 224). Biblioteca(s): Embrapa Cerrados. |
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45. | | BORGES, M. E. S.; SOARES, F. dos S.; CARVALHO JÚNIOR, O. A. de; MARTINS, E. de S.; GUIMARÃES, R. F.; GOMES, R. A. T. Relação dos compartimentos geomorfológicos com o uso agrícola na Bacia do Rio Preto. Espaço e Geografia, Brasília, v. 10, n. 2, p. 453-476, 2007. Biblioteca(s): Embrapa Cerrados. |
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46. | | REATTO, A.; MARTINS, E. de S.; CARDOSO, E. A.; SPERA, S. T.; CARVALHO JÚNIOR, O. A. de; GUIMARÃES, R.; FARIAS, M. F. R.; SILVA, A. V. da. Relação entre as classes de solos e as principais fitofisionomias do alto curso do Rio Descoberto, Distrito Federal e Goiás. Planaltina, DF: Embrapa Cerrados, 2003. 28 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 111). Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Soja; Embrapa Unidades Centrais. |
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47. | | CARVALHO JUNIOR, O. A. de; CARDOSO, F. B. da F.; MARTINS, E. de S.; JUNQUEIRA, F. de F.; CARVALHO, A. P. F. de; REATTO, A.; GUIMARAES, R. F. Quantificação do índice de vazios do solo utilizando técnicas de processamento de imagens digitais. Planaltina, DF: Embrapa Cerrados, 2002. 15 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 60). Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Soja; Embrapa Unidades Centrais. |
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48. | | OLIVEIRA, S. N. de; CARVALHO JÚNIOR, O. A. de; SILVA, T. M. da; GOMES, R. A. T.; MARTINS, E. de S.; GUIMARÃES, R. F.; SILVA, N. C. da. Delimitação automática de bacias de drenagens e análise multivariada de atributos morfométricos usando modelo digital de elevação hidrologicamente corrigido. Revista Brasileira de Geomorfologia, v. 8, n. 1, p. 3-21, 2007. Biblioteca(s): Embrapa Cerrados. |
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49. | | MARTINS, E. de S.; CARVALHO JÚNIOR, O. A. de; SOUZA, V. V. de; COUTO JÚNIOR, A. F.; OLIVEIRA, S. N. de; GOMES, R. A. T.; REATTO, A. Levantamento de reconhecimento de média intensidade dos solos do Parque Nacional da Serra dos Órgãos - Parnaso, Rio de Janeiro, escala 1:100.000. Planaltina, DF: Embrapa Cerrados, 2008. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 209). Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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50. | | REATTO, A.; MARTINS, E. de S.; CARDOSO, E. A.; SPERA, S. T.; CARVALHO JÚNIOR.; O. A. de; GUIMARÃES, R.; SILVA, A. V. da; FARIAS, M. F. R. Levantamento de reconhecimento de solos de alta intensidade do alto curso do Rio Descoberto, DF/GO, escala 1:100.000. Planaltina, DF: Embrapa Cerrados, 2003. 55 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 92). Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Cerrados. |
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51. | | REATTO, A.; MARTINS, E. de S.; CARDOSO, E. A.; SPERA, S. T.; CARVALHO JUNIOR, O. A. de; GUMIARÃES, R.; SILVA, A. V. da; FARIAS, M. F. R. Levantamento de reconhecimento de solos de alta intensidade do alto curso do Rio Descoberto, DF/GO, escala 1:100.000. Planaltina, DF: Embrapa Cerrados, 2003. 55 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 92). Biblioteca(s): Embrapa Unidades Centrais. |
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52. | | REATTO, A.; MARTINS, E. de S.; FARIAS, M. F. R.; SILVA, A. V. da; SPERA, S. T.; CARVALHO JÚNIOR, O. A. de; GUIMARÃES, R. F. Levantamento pedológico da bacia hidrográfica do Ribeirão Taguatinga, DF, escala 1:25.000. Planaltina, DF: Embrapa Cerrados, 2004. 54 p. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 135). Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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53. | | LOPES, F. B.; SILVA, M. C. da; MIYAGI, E. S.; FIORAVANTI, M. C. S.; FACO, O.; GUIMARÃES, R. F.; CARVALHO JÚNIOR, O. A. de; McMANUS, C. M. Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions. Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 32, n. 11, p. 1073-1081, nov. 2012. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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54. | | REATTO, A.; BRUAND, A.; MARTINS, E. de S.; MULLER, F.; SILVA, E. M. da; CARVALHO JÚNIOR, O. A. de; BROSSARD, M.; RICHARD, G. Development and origin of the microgranular structure in latosols of the Brazilian Central Plateau: significance of texture, mineralogy, and biological activity. Catena, v. 76, p. 122-134, 2009. Biblioteca(s): Embrapa Cerrados. |
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55. | | CARVALHO JÚNIOR, O. A. de; GUIMARÃES, R. F.; MONTGOMERY, D. R.; GILLESPIE, A. R.; GOMES, R. A. T.; MARTINS, E. de S.; SILVA, N. C. Karst depression detection using ASTER, ALOS/PRISM and SRTM-Derived digital elevation models in the Bambuí Group, Brazil. Remote sensing, v. 6, p. 330-351, 2014. Biblioteca(s): Embrapa Cerrados. |
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56. | | FARIAS, M. F. R.; CARVALHO, A. P. F. de; MARTINS, E. de S.; CARVALHO JÚNIOR, O. A. de; REATTO, A.; GOMES, R. A. T. Levantamento de solos do Parque Nacional de Brasília, escala 1:50.000. Planaltina, DF: Embrapa Cerrados, 2008. (Embrapa Cerrados. Boletim de Pesquisa e Desenvolvimento, 220). Biblioteca(s): Embrapa Cerrados. |
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57. | | FARIAS, M. F. R.; CARVALHO, A. P. F. de; MARTINS, E. de S.; CARVALHO JÚNIOR, O. A. de; REATTO, A.; GOMES, R. A. T. Levantamento de solos do Parque Nacional de Brasília, escala 1:50.000. Planaltina, DF: Embrapa Cerrados, 2008. 66 p. (Embrapa Cerrados. Boletim de pesquisa e desenvolvimento, 220). Biblioteca(s): Embrapa Unidades Centrais. |
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58. | | PRADO, H. A. do; FERNEDA, E.; RODRIGUES, F. C. da L.; MARTINS, E. de S.; CARVALHO JUNIOR, O. A. de; LUIZ, A. J. B. Structuring taxonomies from texts: a case-study on defining soil classes. Lecture Notes in Computer Science, Berlin, v. 7335, p. 657-666, 2012. Biblioteca(s): Embrapa Meio Ambiente. |
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59. | | BAPTISTA, G. M. de M.; MARTINS, E. de S.; MADEIRA NETTO, J. da S.; CARVALHO JUNIOR, O. A. de; MENESES, P. R. Use of AVIRIS data for mineralogical mapping in tropical soils, in the district of Sao Joao D'Alianca, Goias. In: JPL AIRBORNE EARTH SCIENCE WORKSHOP, 7., 1998, Pasadena. Summaries. Pasadena: NASA, 1998. p.33-42. Biblioteca(s): Embrapa Cerrados. |
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60. | | SOUZA, V. V. DE; COUTO JUNIOR, A. F.; MARTINS, E. de S.; BRAGA, A. R. dos S.; CARVALHO JUNIOR, O. A. DE. Soil-vegetation relationships in savanna landscapes of the Serra da Canastra Plateau, Minas Gerais, Brazil. WORLD CONGRESS OF SOIL SCIENCE, 19., 2010, Brisbane. Soil solutions for a changing world. Brisbane: International Union of Soil Science: ASSSI, 2010. 1 CD-ROM. GIKES, R. J.; PRAKONGKEP, N. (Ed.). Biblioteca(s): Embrapa Cerrados. |
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Registros recuperados : 89 | |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
29/06/2012 |
Data da última atualização: |
05/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 3 |
Autoria: |
PRADO, H. A. do; FERNEDA, E.; RODRIGUES, F. C. da L.; MARTINS, E. de S.; CARVALHO JUNIOR, O. A. de; LUIZ, A. J. B. |
Afiliação: |
HERCULES ANTONIO DO PRADO, SGE; EDILSON FERNEDA, UNIVERSIDADE CATÓLICA DE BRASÍLIA; FRANCISCO CARLOS DA LUZ RODRIGUES, UNIVERSIDADE CATÓLICA DE BRASÍLIA; EDER DE SOUZA MARTINS, CPAC; OSMAR ABÍLIO DE CARVALHO JUNIOR, UNB; ALFREDO JOSE BARRETO LUIZ, CNPMA. |
Título: |
Structuring taxonomies from texts: a case-study on defining soil classes. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Lecture Notes in Computer Science, Berlin, v. 7335, p. 657-666, 2012. |
Idioma: |
Inglês |
Conteúdo: |
Currently, most of the information digitally available is presented in textual form and it is largely acknowledged that, in many fields, the advance of knowledge may strongly benefit from this source of information. The treatment of this vast amount of texts by means of Text Mining (TM) techniques has produced interesting information in fields like Competitive Intelligence and Bibliometry that need to make sense from textual descriptions of facts. In this paper we approach the problem of taxonomy generation from texts, a common need from a large set of scientific disciplines. Taxonomy generation refers to building a hierarchical structure that organizes concepts in a knowledge domain. We applied TM techniques to help experts in Pedology in building taxonomy from redundant soils descriptions. The motto of the application is the fact that, in the early eighties, different organizations mapped and described equivalent classes of soils from Brazilian savannas, generating redundant descriptions with different class labels. There were produced 28 soil maps that covered 4,101 descriptions of soil classes. This profusion of redundant soil descriptions clearly represents a Babel Tower that makes difficult tasks like environment management and food production. The proposed process is based in clustering analysis and runs on the soil descriptions, performing a successive refinement of the abstractions found in soil descriptions. The method builds a frame that shows, for each cluster formed, the prototype (a representative word vector) and the soil descriptions related to that cluster. The results have been analyzed by a team of experts as input information to the laborious reasoning process involved in building concepts from the semantic relations among the soil descriptions. Without a help like the present process, the experts would have to compare visually at least 4,101 × 4.100 × ?× 1 soil descriptions to define the clusters, what is much more laborious. MenosCurrently, most of the information digitally available is presented in textual form and it is largely acknowledged that, in many fields, the advance of knowledge may strongly benefit from this source of information. The treatment of this vast amount of texts by means of Text Mining (TM) techniques has produced interesting information in fields like Competitive Intelligence and Bibliometry that need to make sense from textual descriptions of facts. In this paper we approach the problem of taxonomy generation from texts, a common need from a large set of scientific disciplines. Taxonomy generation refers to building a hierarchical structure that organizes concepts in a knowledge domain. We applied TM techniques to help experts in Pedology in building taxonomy from redundant soils descriptions. The motto of the application is the fact that, in the early eighties, different organizations mapped and described equivalent classes of soils from Brazilian savannas, generating redundant descriptions with different class labels. There were produced 28 soil maps that covered 4,101 descriptions of soil classes. This profusion of redundant soil descriptions clearly represents a Babel Tower that makes difficult tasks like environment management and food production. The proposed process is based in clustering analysis and runs on the soil descriptions, performing a successive refinement of the abstractions found in soil descriptions. The method builds a frame that shows, for each cluster fo... Mostrar Tudo |
Palavras-Chave: |
Mineração de texto; Text mining. |
Thesagro: |
Cerrado; Solo; Taxonomia. |
Thesaurus NAL: |
Soil taxonomy. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02714naa a2200253 a 4500 001 1927451 005 2023-01-05 008 2012 bl uuuu u00u1 u #d 100 1 $aPRADO, H. A. do 245 $aStructuring taxonomies from texts$ba case-study on defining soil classes.$h[electronic resource] 260 $c2012 520 $aCurrently, most of the information digitally available is presented in textual form and it is largely acknowledged that, in many fields, the advance of knowledge may strongly benefit from this source of information. The treatment of this vast amount of texts by means of Text Mining (TM) techniques has produced interesting information in fields like Competitive Intelligence and Bibliometry that need to make sense from textual descriptions of facts. In this paper we approach the problem of taxonomy generation from texts, a common need from a large set of scientific disciplines. Taxonomy generation refers to building a hierarchical structure that organizes concepts in a knowledge domain. We applied TM techniques to help experts in Pedology in building taxonomy from redundant soils descriptions. The motto of the application is the fact that, in the early eighties, different organizations mapped and described equivalent classes of soils from Brazilian savannas, generating redundant descriptions with different class labels. There were produced 28 soil maps that covered 4,101 descriptions of soil classes. This profusion of redundant soil descriptions clearly represents a Babel Tower that makes difficult tasks like environment management and food production. The proposed process is based in clustering analysis and runs on the soil descriptions, performing a successive refinement of the abstractions found in soil descriptions. The method builds a frame that shows, for each cluster formed, the prototype (a representative word vector) and the soil descriptions related to that cluster. The results have been analyzed by a team of experts as input information to the laborious reasoning process involved in building concepts from the semantic relations among the soil descriptions. Without a help like the present process, the experts would have to compare visually at least 4,101 × 4.100 × ?× 1 soil descriptions to define the clusters, what is much more laborious. 650 $aSoil taxonomy 650 $aCerrado 650 $aSolo 650 $aTaxonomia 653 $aMineração de texto 653 $aText mining 700 1 $aFERNEDA, E. 700 1 $aRODRIGUES, F. C. da L. 700 1 $aMARTINS, E. de S. 700 1 $aCARVALHO JUNIOR, O. A. de 700 1 $aLUIZ, A. J. B. 773 $tLecture Notes in Computer Science, Berlin$gv. 7335, p. 657-666, 2012.
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