66 resultados para Information retrieval


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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.

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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 retrieval process involves subjective, imprecise and vague concepts, such as "information need", "relevance", and the very concept of "information". The main information retrieval models treat these concepts accurately, represented by a single numerical value. The fuzzy logic, while operating with the uncertainty of natural phenomena in a systematic and rigorous manner, represents a promising alternative to solve some problems related to information retrieval. This paper presents the fuzzy logic and some examples of its use in information retrieval systems (IRS).

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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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The use of indexing language in university libraries collective catalogs and the socio-cognitive context of indexing and users were evaluated. The methodology consisted of a diagnostic study elaboration of the functioning and treatment procedures of the indexing information from nine libraries of the UNESP Network, representing the Civil Engineering, Pedagogy and Dentistry areas from a data collection using the Verbal Protocol introspective technique in the Individual and Group forms. The study conducted a reflection upon the statements issued by the seventy-two participating individuals whose the results revealed unsatisfactory results about the use of the Subject Headings List of the BIBLIODATA Network, indexing language utilizing by the UNESP Libraries Network, Brazil, in the representation and in the information retrieval process in the ATHENA catalog, about the sequent aspects of the language: lack of specialized vocabulary as well as updated; lack of remissives and of specific headings, and others. We have concluded that the adequate use of indexing languages of specialized scientific areas becomes by means of evaluation as to updating, specificity and compatibility in order to meet the needs of indexing and information retrieval.

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Modern society is characterized by being in evolution finds, technology strides and every day becomes the setting in which we live. At school, however, we found no features of these changes, the years pass and the methodological tools remain unchanged. In this paper we analyze an object produced by the Learning Network Interactive Virtual Education - RIVED to discuss whether it covers the content and answers to the questions proposed by the National Curricular and Curricular Proposal of the State of Sao Paulo, and may be inserted in the educational environment, both to perform a qualitative analysis, focusing on information retrieval. The results showed that the Learning Objects: Abundance, has most of the proposals relating to the subject of study, prepared by the NCP and the Proposed Structure for the State of Sao Paulo, so it is valid for teachers to use this tool trying that with a new approach, we can give students a better understanding of chemical concepts

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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 Televisão Digital: Informação e Conhecimento - FAAC

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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)