66 resultados para Information retrieval


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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 Computação - 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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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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.