879 resultados para pacs: information retrieval techniques
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Pós-graduação em Ciência da Informação - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Estudos Linguísticos - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Informação - FFC
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Pós-graduação em Ciência da Informação - FFC
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Estudos sobre a climatologia das precipitações no Estado do Pará são essenciais para o planejamento das atividades agrícolas. A variação da precipitação anual e sazonal no Estado do Pará foi analisada com base em séries históricas de 23 anos (1976-1998) de dados diários de chuva. A análise foi realizada para 31 localidades do Estado do Pará, sendo os resultados representados em mapas com a utilização de técnicas de sistemas de informações geográficas (SIG). A variabilidade da precipitação anual e sazonal foi caracterizada com base no coeficiente de variação e no índice de variabilidade interanual relativo. A variação desses coeficientes para a precipitação anual no Estado do Pará foi de 15 a 30%. As características mensais da estação chuvosa, em termos de início, fim e duração, foram determinadas utilizando-se o critério proposto por KASSAM (1979). A variação entre as datas de plantio precoces e tardias corresponderam aos decêndios identificados pelos dias julianos 309319 e 353363, respectivamente.
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The methodological aspects of the content analysis of fiction with information retrieval purposes are discussed with a focus on the study of textual analysis for the identification of the themes treated in stories. It is assumed that the methodological procedures used for indexing scientific works do not produce satisfactory results when applied to narrative fiction documents. The aim of this paper is to present the gerative sense course as a methodology to extract themes from works of fiction, and to study its application to the indexing of tales by indexers. The methodology used is the construction of gerative sense course, identifying both the narrative level structures (manipulation, competence, performance and punishment) and the discourse level (themes and figures) in order to obtain the theme of the document. The results demonstrated the feasibility of the application of the gerative sense course to the documentary content analysis of works of fiction, in the sense that it provided a clear annotations of the theme of the document that was being indexed by the cataloguers. Several questions related to this procedure require further clarification and also a preliminary study with professionals in the form of a pilot project.
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Introduction: In the Web environment, there is a need for greater care with regard to the processing of descriptive and thematic information. The concern with the recovery of information in computer systems precedes the development of the first personal computers. Models of information retrieval have been and are today widely used in databases specific to a field whose scope is known. Objectives: Verify how the issue of relevance is treated in the main computer models of information retrieval and, especially, as the issue is addressed in the future of the Web, the called Semantic Web. Methodology: Bibliographical research. Results: In the classical models studied here, it was realized that the main concern is retrieving documents whose description is closest to the search expression used by the user, which does not necessarily imply that this really needs. In semantic retrieval is the use of ontologies, feature that extends the user's search for a wider range of possible relevant options. Conclusions: The relevance is a subjective judgment and inherent to the user, it will depend on the interaction with the system and especially the fact that he expects to recover in your search. Systems that are based on a model of relevance are not popular, because it requires greater interaction and depend on the user's disposal. The Semantic Web is so far the initiative more efficient in the case of information retrieval in the digital environment.
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Introduction: In the digital environment, metadata influence both in data access and information retrieval and are used as search elements to facilitate locating resources on the Web. Objective: In this perspective, the aim is to present the methodology BEAM, developed in Biblioteca de Estudos e Aplicação de Metadados, of the Research Group “Novas Tecnologias em Informação” in Universidade Estadual Paulista and used to define the metadata for describing information resources. Methodology: The methodology used for the construction of the research is exploratory and bibliographic and was developed based on the theoretical method Chuttur (2011) and the life cycle of data from the DataOne (2012) and also the PDCA cycle and tool 5W1H . Results: The seven steps of the methodology are presented and also the necessary guidelines for their implementation. Conclusions: We conclude pointing BEAM methodology that can be adopted by libraries in the construction of catalogs aimed at meeting the needs of users.
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Information retrieval is a recurrent subject in search of information science. This kind of study aim to improve results in both searches on the Web and in various other digital information environment. In this context, the Iterative Representation model suggested for digital repositories, appears as a differential that changes the paradigm of self-archiving of digital objects, creating a concept of relationship between terms that link the user thought the material deposited in the digital environment. The links effect by the Iterative Representation aided Assisted Folksonomy generate a shaped structure that connects networks, vertically and horizontally, the objects deposited, relying on some kind of structure for representing knowledge of specialty areas and therefore, creating an information network based on knowledge of users. The network of information created, called the network of tags is dynamic and effective a different model of information retrieval and study of digital information repositories.Keywords Digital Repositories; Iterative Representation; Folksonomy; Folksonomy Assisted; Semantic Web; Network Tags.