Avaliação comparada do uso de linguagens de indexação em catálogos de bibliotecas universitárias para recuperação por assunto

A comparative evaluation was made of the use of natural language versus two specialized indexing languages, aiming to demonstrate the influence of the availability of indexing languages on the functioning of information retrieval systems. The study was conducted within the ambit of the construction of search strategies by subject in online university library catalogs. The precision ratio was calculated to determine the accuracy of each indexing language in subjectbased information retrieval. From the comparative evaluation of the use of indexing languages, it was concluded that the term specificity required by the user during retrieval was more satisfactory when the query was made through controlled languages, whose availability and simplicity is also an indispensable requisite.

Produtividade Científica dos docentes da Universidade Estadual Paulista, câmpus de Assis/SP

In this work, we analyzed the scientific bibliographic productivity of the Faculdade Ciências e Letras de Assis, Universidade Estadual Paulista (FCLAs-UNESP). We evaluated the scientific productivity of Professors using data retrieved from the Lattes Plataform database (Curriculum Lattes), ISI Web of Science and SCOPUS, books published, chapter of the books published and academic advisory (Master's Thesis and Ph.D. Thesis). Bibliometric evaluations of departments showed a better performance of the total number of papers (indexed in Curriculum Lattes database) by Literature Department (P < 0.05) when compared to Modern Languages Department. The Biological Sciences Department had means higher of the papers indexed by SCOPUS (P < 0.05) and ISI (P < 0.05) when compared to others departments. We also observed that the low h-indexes (P< 0,05) in the humanities areas is result of traditional mode of communication in this area of knowledge, which makes more use of books and proceedings of meetings when compared to natural sciences. These publications are not covered by ISI and SCOPUS. The graduate programs in History and Languages presented means higher of academic advisory (Master's Thesis and Ph.D. Thesis) because are graduate programs consolidated in the 1970's.

Optimum-Path Forest pruning parameter estimation through Harmony Search

Pattern recognition in large amount of data has been paramount in the last decade, since that is not straightforward to design interactive and real time classification systems. Very recently, the Optimum-Path Forest classifier was proposed to overcome such limitations, together with its training set pruning algorithm, which requires a parameter that has been empirically set up to date. In this paper, we propose a Harmony Search-based algorithm that can find near optimal values for that. The experimental results have showed that our algorithm is able to find proper values for the OPF pruning algorithm parameter. © 2011 IEEE.

New trends in musical genre classification using optimum-path forest

Musical genre classification has been paramount in the last years, mainly in large multimedia datasets, in which new songs and genres can be added at every moment by anyone. In this context, we have seen the growing of musical recommendation systems, which can improve the benefits for several applications, such as social networks and collective musical libraries. In this work, we have introduced a recent machine learning technique named Optimum-Path Forest (OPF) for musical genre classification, which has been demonstrated to be similar to the state-of-the-art pattern recognition techniques, but much faster for some applications. Experiments in two public datasets were conducted against Support Vector Machines and a Bayesian classifier to show the validity of our work. In addition, we have executed an experiment using very recent hybrid feature selection techniques based on OPF to speed up feature extraction process. © 2011 International Society for Music Information Retrieval.

As contribuições das linguagens de marcação para a gestão da informação arquivística digital

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Subsídios para construção de estratégias de busca para revisões sistemáticas na base da dados Medline via Pubmed

Pós-graduação em Bases Gerais da Cirurgia - FMB

Análise de métodos de produção de interfaces visuais para recuperação da informação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Informação e segurança pública: modelo de banco de dados para a gestão de informações em Moçambique

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Usabilidade na recuperação da informação: um enfoque no catálogo Athena

Pós-graduação em Ciência da Informação - FFC

Serviço de referência e informação para smartphones: análise de acesso e uso

Pós-graduação em Ciência da Informação - FFC

Ontolime: modelo de ontologia de descrição de imagens médicas

Pós-graduação em Ciência da Informação - FFC

O processo de análise de assunto na catalogação de documentos: a perspectiva sociocognitiva do catalogador em contexto de biblioteca universitária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da indexação em bibliotecas universitárias: uma aplicação em catálogos online

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A política de indexação na perspectiva do conhecimento organizacional

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

MARCXML: um padrão de descrição para recursos informacionais em Open Archives

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)