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Detalhes da Produção
| Tipo | Capitulo de Livro Publicado |
| Grupo | Produção Bibliográfica |
| Descrição | PROSDOCIMI, F ; Chisham, B ; Pontelli, E ; Stoltzfus, A ; Thompson, J. Knowledge standardization in evolutionary biology: the Comparative Data Analysis Ontology (CDAO). In: Pierre Pontarotti; doi:10.1007/978-3-642-00952-5_12. (Org.). Evolutionary Biology: concept, modeling and application. ed.Berlin: Springer, 2009, v. , p. 195-214. |
| Autor | Francisco Prosdocimi |
| Ano | 2009 |
Informações Complementares
| Ano | 2009 |
| Cidade da Editora | Berlin |
| Descricão e Informacões Adicionais | In this chapter we describe the development of a new biomedical ontology in the context of the modern knowledge representation research field. We also present the modeled concepts and their relevance in the light of the history of evolutionary biology. CDAO stands for Comparative Data Analysis Ontology and allows the representation of data produced in evolutionary biology studies in the form of a set of well-defined concepts and the relationships among them. CDAO is not intended to be a glossary or a simple taxonomy of evolution-related terminology. Since evolutionary theory provides a broad framework for almost all fields of biology, the concepts in CDAO reflect a rich history of controversies stressed by academics in philosophical analyses of the whole field of biology. The concept of an evolutionary tree to represent relationships between organisms is credited to Darwin. However, the nature of species and the operational taxonomic units (OTU) used in evolutionary analysis are still a matter of controversy among scholars. The same can be said for a number of other concepts modeled in CDAO. For instance, the choice of a methodological basis for evolutionary analysis is still a matter of debate: should researchers use simple non-theory based comparative approaches to analyze their data? Should they assume parsimony to adapt phylogeny towards a popperian concept of science? Should they consider likelihood or Bayesian methods as more appropriate to their endeavor? In the first part of this chapter we try to understand the role of a knowledge representation task in the context of modern research in biology. The second part is devoted to the presentation of the concepts modeled in CDAO and their specification using standard ontology descriptors. Finally, the third part of the chapter deals with historical discussions in evolutionary biology that influenced the genesis and development of CDAO`s formalized concepts. This approach will be extended to show how evolution |
| Descricão e Informacões Adicionais(en) | In this chapter we describe the development of a new biomedical ontology in the context of the modern knowledge representation research field. We also present the modeled concepts and their relevance in the light of the history of evolutionary biology. CDAO stands for Comparative Data Analysis Ontology and allows the representation of data produced in evolutionary biology studies in the form of a set of well-defined concepts and the relationships among them. CDAO is not intended to be a glossary or a simple taxonomy of evolution-related terminology. Since evolutionary theory provides a broad framework for almost all fields of biology, the concepts in CDAO reflect a rich history of controversies stressed by academics in philosophical analyses of the whole field of biology. The concept of an evolutionary tree to represent relationships between organisms is credited to Darwin. However, the nature of species and the operational taxonomic units (OTU) used in evolutionary analysis are still a matter of controversy among scholars. The same can be said for a number of other concepts modeled in CDAO. For instance, the choice of a methodological basis for evolutionary analysis is still a matter of debate: should researchers use simple non-theory based comparative approaches to analyze their data? Should they assume parsimony to adapt phylogeny towards a popperian concept of science? Should they consider likelihood or Bayesian methods as more appropriate to their endeavor? In the first part of this chapter we try to understand the role of a knowledge representation task in the context of modern research in biology. The second part is devoted to the presentation of the concepts modeled in CDAO and their specification using standard ontology descriptors. Finally, the third part of the chapter deals with historical discussions in evolutionary biology that influenced the genesis and development of CDAO`s formalized concepts. This approach will be extended to show how evolution |
| Divulgação Científica | NAO |
| Homepage do Trabalho | http://www.springerlink.com/content/u617820244047382/ |
| Idioma | Inglês |
| ISBN | 3642009514 |
| Meio de Divulgação | IMPRESSO |
| nome da editora | Springer |
| Organizadores | Pierre Pontarotti; doi:10.1007/978-3-642-00952-5_12 |
| Página Final | 214 |
| Página Inicial | 195 |
| pais de publicacao | Alemanha |
| Relevância | NAO |
| Tipo | Capítulo de livro publicado |
| titulo do capitulo do livro | Knowledge standardization in evolutionary biology: the Comparative Data Analysis Ontology (CDAO) |
| titulo do capitulo do livro ingles | Knowledge standardization in evolutionary biology: the Comparative Data Analysis Ontology (CDAO) |
| titulo do livro | Evolutionary Biology: concept, modeling and application |