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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/02/2011 |
Data da última atualização: |
27/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
CONRADO, M. S.; MOURA, M. F.; REZENDE, S. O. |
Afiliação: |
MERLEY S. CONRADO, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; SOLANGE O. REZENDE, ICMC/USP. |
Título: |
TaXEm: a tool for aiding the evaluation of domain topic. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, 9., 2010, Porto Alegre. Extended Activities Proceedings... [S.l.: s.n.], 2010. |
Páginas: |
2 p. |
Idioma: |
Inglês |
Notas: |
Propor 2010. Demonstration. |
Conteúdo: |
The notorious advances in textual information storage need fast and effcient tools to organize, retrieve and browse this information and tools for knowledge extraction. A very interesting way to organize specific domain information is the topic taxonomy building. Moreover a great challenge in this research area is the result evaluation and validation. This evaluation can be carried out through objective measures or through a subjective analysis, which is based on the domain specialist judgment. The measures CQM and SQM [1] are used to evaluate a generated taxonomy against a reference taxonomy. A reference taxonomy is constructed by human and consolidated through its community use along the years. The CQM is used to evaluate the generated taxonomy relatively to the selected descriptors for each taxonomy node; on the other hand, the SQM is used to evaluate the taxonomy structure. As these objective measures do not encompass the specialist knowledge, the specialist evaluation is very important. However the human evaluation is expensive, because this task involves readiness, time and dedication from the specialists. In this way, the TaXEm tool claims to reduce the subjective evaluation costs. The TaXEm (Taxonomia em XML da Embrapa) tool offers subsidies for carrying out a taxonomy (semi)automatic evaluation, which allows the user to implement some automatic evaluation before going on a subjective evaluation. |
Palavras-Chave: |
Organização da informação; Recuperação da informação. |
Thesagro: |
Taxonomia. |
Thesaurus Nal: |
Information retrieval; Taxonomy. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/26444/1/ConradoEtAl.pdf
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Marc: |
LEADER 02178nam a2200217 a 4500 001 1875866 005 2020-01-27 008 2010 bl uuuu u00u1 u #d 100 1 $aCONRADO, M. S. 245 $aTaXEm$ba tool for aiding the evaluation of domain topic.$h[electronic resource] 260 $aIn: INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, 9., 2010, Porto Alegre. Extended Activities Proceedings... [S.l.: s.n.]$c2010 300 $a2 p. 500 $aPropor 2010. Demonstration. 520 $aThe notorious advances in textual information storage need fast and effcient tools to organize, retrieve and browse this information and tools for knowledge extraction. A very interesting way to organize specific domain information is the topic taxonomy building. Moreover a great challenge in this research area is the result evaluation and validation. This evaluation can be carried out through objective measures or through a subjective analysis, which is based on the domain specialist judgment. The measures CQM and SQM [1] are used to evaluate a generated taxonomy against a reference taxonomy. A reference taxonomy is constructed by human and consolidated through its community use along the years. The CQM is used to evaluate the generated taxonomy relatively to the selected descriptors for each taxonomy node; on the other hand, the SQM is used to evaluate the taxonomy structure. As these objective measures do not encompass the specialist knowledge, the specialist evaluation is very important. However the human evaluation is expensive, because this task involves readiness, time and dedication from the specialists. In this way, the TaXEm tool claims to reduce the subjective evaluation costs. The TaXEm (Taxonomia em XML da Embrapa) tool offers subsidies for carrying out a taxonomy (semi)automatic evaluation, which allows the user to implement some automatic evaluation before going on a subjective evaluation. 650 $aInformation retrieval 650 $aTaxonomy 650 $aTaxonomia 653 $aOrganização da informação 653 $aRecuperação da informação 700 1 $aMOURA, M. F. 700 1 $aREZENDE, S. O.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Clima Temperado. |
Data corrente: |
09/06/2020 |
Data da última atualização: |
09/06/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
MOREIRA, M. M.; CARRIJO, T. T.; ALVES-ARAÚJO, A.; AMORIM, A. M. A.; RAPINI, A.; SILVA, A. V. S. da; COSENZA, B. A. P.; LOPES, C. R.; DELGADO, C. N.; KAMEYAMA, C.; COUTO, D. R.; BARBOSA, D. E. F.; MONTEIRO, D.; GONZAGA, D. R.; DALCIN, E. C.; GUIMARÃES, E. F.; LÍRIO, E. J. de; MATOS, F. B.; SALIMENA, R. G. F.; OLIVEIRA, F. A.; HEIDEN, G.; LANNA, J. M.; BAUMGRATZ, J. F.; PASTORE, J. F. B.; OLIVEIRA, J. R. P. M.; BARCELOS, L. B.; SYLVESTRE, L. S.; FREITAS, L.; GIACOMIN, L. L.; PEDERNEIRAS, L.; MEIRELES, L. D.; LOHMANN, L. G.; PEREIRA, L. C.; SILVA, L. A. e; NETO, L. M.; SOUZA, M. C.; TROVÓ, M.; SOBRAL, M. E. G.; GARBIN, M. L.; GOMES, M.; MORIM, M. P.; MOTA, M. C. A.; LABIAK, P. H.; VIANA, P. L.; MORAES, P. L. R. de; GOLDENBERG, R.; COELHO, R. L. G.; FURTADO, S. G.; SILVA-NETO, S. J. da; FLORES, T. B.; DUTRA, V. F.; BUENO, V. R.; FORZZA, R. C. |
Afiliação: |
MARINA M. MOREIRA; TATIANA T. CARRIJO; ANDERSON ALVES-ARAÚJO; ANDRÉ M. A. AMORIM; ALESSANDRO RAPINI; ANDREWS V. S. DA SILVA; BRAZ A. P. COSENZA; CLAUDIA R. LOPES; CAMILA N. DELGADO; CÍNTIA KAMEYAMA; DAYVID R. COUTO; DANIEL E. F. BARBOSA; DANIELE MONTEIRO; DIEGO R. GONZAGA; EDUARDO C. DALCIN; ELSIE F. GUIMARÃES; ELTON JOHN DE LÍRIO; FERNANDO B. MATOS; FÁTIMA R. G. SALIMENA; FELIPE A. OLIVEIRA; GUSTAVO HEIDEN, CPACT; JOÃO M. LANNA; JOSÉ FERNANDO BAUMGRATZ; JOSÉ F. B. PASTORE; JULIANA R. P. M. OLIVEIRA; LAÍSA B. BARCELOS; LANA S. SYLVESTRE; LEANDRO FREITAS; LEANDRO L. GIACOMIN; LEANDRO PEDERNEIRAS; LEONARDO D. MEIRELES; LÚCIA G. LOHMANN; LUCIANA C. PEREIRA; LUIS ALEXANDRE E SILVA; LUIZ M. NETO; MARCELO C. SOUZA; MARCELO TROVÓ; MARCOS E. G. SOBRAL; MÁRIO LUÍS GARBIN; MARIO GOMES; MARLI P. MORIM; MICHELLE CHRISTINE A. MOTA; PAULO H. LABIAK; PEDRO L. VIANA; PEDRO LUÍS R. DE MORAES; RENATO GOLDENBERG; RUBENS LUIZ G. COELHO; SAMYRA G. FURTADO; SEBASTIÃO JOSÉ DA SILVA-NETO; THIAGO B. FLORES; VALQUÍRIA F. DUTRA; VINÍCIUS R. BUENO; RAFAELA C. FORZZA. |
Título: |
Using online databases to produce comprehensive accounts of the vascular plants from the Brazilian protected areas: The Parque Nacional do Itatiaia as a case study. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Biodiversity Data Journal, v. 8, e50837, 2020. |
Páginas: |
21 p. |
DOI: |
10.3897/BDJ.8.e50837 |
Idioma: |
Inglês |
Conteúdo: |
Brazil is one of the most biodiverse countries in the world, with about 37,000 species of land plants. Part of this biodiversity is within protected areas. The development of online databases in the last years greatly improved the available biodiversity data. However, the existing databases do not provide information about the protected areas in which individual plant species occur. The lack of such information is a crucial gap for conservation actions. This study aimed to show how the information captured from online databases, cleaned by a protocol and verified by taxonomists allowed us to obtain a comprehensive list of the vascular plant species from the "Parque Nacional do Itatiaia", the first national park founded in Brazil. All existing records in the online database JABOT (15,100 vouchers) were downloaded, resulting in 11,783 vouchers identified at the species level. Overall, we documented 2,316 species belonging to 176 families and 837 genera of vascular plants in the "Parque Nacional do Itatiaia". Considering the whole vascular flora, 2,238 species are native and 78 are non-native. |
Thesagro: |
Biodiversidade; Planta. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/213878/1/Using-online-databases-to-produce-comprehensive.pdf
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Marc: |
LEADER 03303naa a2200793 a 4500 001 2123188 005 2020-06-09 008 2020 bl uuuu u00u1 u #d 024 7 $a10.3897/BDJ.8.e50837$2DOI 100 1 $aMOREIRA, M. M. 245 $aUsing online databases to produce comprehensive accounts of the vascular plants from the Brazilian protected areas$bThe Parque Nacional do Itatiaia as a case study.$h[electronic resource] 260 $c2020 300 $a21 p. 520 $aBrazil is one of the most biodiverse countries in the world, with about 37,000 species of land plants. Part of this biodiversity is within protected areas. The development of online databases in the last years greatly improved the available biodiversity data. However, the existing databases do not provide information about the protected areas in which individual plant species occur. The lack of such information is a crucial gap for conservation actions. This study aimed to show how the information captured from online databases, cleaned by a protocol and verified by taxonomists allowed us to obtain a comprehensive list of the vascular plant species from the "Parque Nacional do Itatiaia", the first national park founded in Brazil. All existing records in the online database JABOT (15,100 vouchers) were downloaded, resulting in 11,783 vouchers identified at the species level. Overall, we documented 2,316 species belonging to 176 families and 837 genera of vascular plants in the "Parque Nacional do Itatiaia". Considering the whole vascular flora, 2,238 species are native and 78 are non-native. 650 $aBiodiversidade 650 $aPlanta 700 1 $aCARRIJO, T. T. 700 1 $aALVES-ARAÚJO, A. 700 1 $aAMORIM, A. M. A. 700 1 $aRAPINI, A. 700 1 $aSILVA, A. V. S. da 700 1 $aCOSENZA, B. A. P. 700 1 $aLOPES, C. R. 700 1 $aDELGADO, C. N. 700 1 $aKAMEYAMA, C. 700 1 $aCOUTO, D. R. 700 1 $aBARBOSA, D. E. F. 700 1 $aMONTEIRO, D. 700 1 $aGONZAGA, D. R. 700 1 $aDALCIN, E. C. 700 1 $aGUIMARÃES, E. F. 700 1 $aLÍRIO, E. J. de 700 1 $aMATOS, F. B. 700 1 $aSALIMENA, R. G. F. 700 1 $aOLIVEIRA, F. A. 700 1 $aHEIDEN, G. 700 1 $aLANNA, J. M. 700 1 $aBAUMGRATZ, J. F. 700 1 $aPASTORE, J. F. B. 700 1 $aOLIVEIRA, J. R. P. M. 700 1 $aBARCELOS, L. B. 700 1 $aSYLVESTRE, L. S. 700 1 $aFREITAS, L. 700 1 $aGIACOMIN, L. L. 700 1 $aPEDERNEIRAS, L. 700 1 $aMEIRELES, L. D. 700 1 $aLOHMANN, L. G. 700 1 $aPEREIRA, L. C. 700 1 $aSILVA, L. A. e 700 1 $aNETO, L. M. 700 1 $aSOUZA, M. C. 700 1 $aTROVÓ, M. 700 1 $aSOBRAL, M. E. G. 700 1 $aGARBIN, M. L. 700 1 $aGOMES, M. 700 1 $aMORIM, M. P. 700 1 $aMOTA, M. C. A. 700 1 $aLABIAK, P. H. 700 1 $aVIANA, P. L. 700 1 $aMORAES, P. L. R. de 700 1 $aGOLDENBERG, R. 700 1 $aCOELHO, R. L. G. 700 1 $aFURTADO, S. G. 700 1 $aSILVA-NETO, S. J. da 700 1 $aFLORES, T. B. 700 1 $aDUTRA, V. F. 700 1 $aBUENO, V. R. 700 1 $aFORZZA, R. C. 773 $tBiodiversity Data Journal$gv. 8, e50837, 2020.
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