144 resultados para Sistemas de recuperação da informação visual
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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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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In the paper analyzes the process of knowledge construction in the news regarding the emergence of massive information and communication technologies. In this context, through a qualitative approach, first we examine the potential of production, dissemination, access and use information in a technocratic perspective, and secondly, the negative impacts stemming from the computed mediation, mainly linked to the complexity of policies of democratization of access to information and loss of criticality of science. The focus of this review focuses on the current model of information search and knowledge construction through the Web, outlining aspects inherent to the process in general. Similarly, envision different contributions of information science for the systematization of human knowledge, guided through the social actions of professionals working in various fields, with emphasis on the information representation and retrieval. It is hoped that work can contribute to the current thematic reflection on the production, dissemination and use of information as well as on digital inclusion policies.
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Information retrieval has been much discussed within Information Science lately. The search for quality information compatible with the users needs became the object of constant research.Using the Internet as a source of dissemination of knowledge has suggested new models of information storage, such as digital repositories, which have been used in academic research as the main form of autoarchiving and disseminating information, but with an information structure that suggests better descriptions of resources and hence better retrieval.Thus the objective is to improve the process of information retrieval, presenting a proposal for a structural model in the context of the semantic web, addressing the use of web 2.0 and web 3.0 in digital repositories, enabling semantic retrieval of information through building a data layer called Iterative Representation.The present study is characterized as descriptive and analytical, based on document analysis, divided into two parts: the first, characterized by direct observation of non-participatory tools that implement digital repositories, as well as digital repositories already instantiated, and the second with scanning feature, which suggests an innovative model for repositories, with the use of structures of knowledge representation and user participation in building a vocabulary domain. The model suggested and proposed ─ Iterative Representation ─ will allow to tailor the digital repositories using Folksonomy and also controlled vocabulary of the field in order to generate a data layer iterative, which allows feedback information, and semantic retrieval of information, through the structural model designed for repositories. The suggested model resulted in the formulation of the thesis that through Iterative Representation it is possible to establish a process of semantic retrieval of information in digital repositories.
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The Information Technology and Communication (ICT) made possible to adapt bibliographic catalogs to the digital environment, giving them more speed, flexibility and efficiency in the information retrieval. The FRBR, as a conceptual model for the bibliographic universe based on entity-relationship modeling, brought to the Librarianship area the possibility of making more efficient operation catalogs. The FRBR model was the first initiative caring about how to accomplish the conceptual modeling of bibliographic catalogs, to do not spend more efforts in individual developments of distinct and inconsistent modeling.However, even many years after its publication, there were few real implementation initiatives. The aim of this study is to present the model, based on its main features and structure, and bring to the discussion some considerations and inconsistencies that, according to the literature, may be the cause of its failure so far. It s based on the national and international literature about conceptual modeling and about the FRBR model.
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In relation to the changes that mark the trajectory of libraries catalogs, this paper aims to describe the challenges that go beyond the current status of librarians, in relation to use of the on-line catalog as the main tool storage and retrieval of documentary information. Using literature specialized is intended to contribute to the discussion of the topic, in order to understand the challenges and prospects of using this important tool for search and information retrieval.
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The indexing process aims to represent synthetically the informational content of documents by a set of terms whose meanings indicate the themes or subjects treated by them. With the emergence of the Web, research in automatic indexing received major boost with the necessity of retrieving documents from this huge collection. The traditional indexing languages, used to translate the thematic content of documents in standardized terms, always proved efficient in manual indexing. Ontologies open new perspectives for research in automatic indexing, offering a computer-process able language restricted to a particular domain. The use of ontologies in the automatic indexing process allows using a specific domain language and a logical and conceptual framework to make inferences, and whose relations allow an expansion of the terms extracted directly from the text of the document. This paper presents techniques for the construction and use of ontologies in the automatic indexing process. We conclude that the use of ontologies in the indexing process allows to add not only new feature to the indexing process, but also allows us to think in new and advanced features in an information retrieval system.
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We evaluated the indexing process, to identify the conceptions of subject analysis used in the procedures adopted by catalogers in university libraries. It was concluded that more attention should be given to adoption of approaches content-oriented and requirementsoriented conceptions of subject analysis and use of indexing language compatible with the needs of representation and information of indexers and users of collective catalogues of academic libraries.
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Não disponível
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Pós-graduação em Ciência da Informação - FFC
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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Pós-graduação em Ciência da Computação - IBILCE
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)