438 resultados para ontologies


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Pós-graduação em Ciência da Computação - IBILCE

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Throughout the last years, the increasing use of Technologies of nformation and Communication (TICs) have stimulated a new gamma of informational necessities. The digital environments favor the transposition of the conventional limits of representation and dissemination of the registered knowledge, incorporating new elements to the processes of production, organization and recovery of information. Considering the ontologies as a new and riveting category of systems of representation of knowledge, we searched bases that allow to analyze the approaches of this new computational approach with the instruments and methods of Knowledge Organization, starting from presentation of the ontology OIR, designed for the representation and exchange of referential informations of academic papers, investigating in what scale the area of Information Science can contribute to the development of ontologies and analyzing the consequences of its use in digital libraries.

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The theory of classification must be committed to new approaches such as ontologies and collaborative classification. Therefore, it was conducted a research of exploratory and reflective aspects, in order to increase the understanding of the phenomenon and to get a greater familiarity with the problem, looking for its more precise delimitation. The reflection shows that it is still necessary to invest in the dialogical approach of knowledge organization tools and that it is necessary to rethink the studies on classification in the context of digital technologies, especially ontologies, which have aspects of derivation, though not always declared, from classification systems.

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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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The concept of ontoloy as a tool for knowledge organization and representation, which is not yet stable, is analyzed in two spanish journals of information science, namely “Scire: representación y organización del conocimiento” and “Ibersid: revista de sistemas de información y documentación”, both published by the University of Zaragoza. The term "ontology" and its variations were searched in the fields of title, keywords and abstract. A corpus of eighteen articles was obtained. The approaches to ontologies were classified into four categories of analysis: conceptualization, comparison, application and new applications. It was observed that the way which the concept of ontologies is treated in both periodicals is in consonance with their editorial policies. The term ontology is suffering a process of meta-terminologization, from the field of philosophy towards information science, a fact that deserves further and more vertical studies.

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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 traditional characteristics and challenges for organizing and searching information on the World Wide Web are outlined and reviewed. The classification features of two of these methods, such as Google, in the case of automated search engines, and Yahoo! Directory, in the case of subject directories are analyzed. Recent advances in the Semantic Web, particularly the growing application of ontologies and Linked Data are also reviewed. Finally, some problems and prospects related to the use of classification and indexing on the World Wide Web are discussed, emphasizing the need of rethinking the role of classification in the organization of these resources and outlining the possibilities of applying Ranganathan's facet theories of classification.

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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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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)

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Pós-graduação em Agronomia (Agricultura) - FCA