GUIDE-O; an experimental information system /

Thesis (M.S.)--University of Illinois at Urbana-Champaign.

Title list of documents made publicly available.

Not distributed to depository libraries in a physical form, 2000- .

State of Illinois labor market information plan, 1986-1987 /

"February 1986."

Arizona mineral-resource data : information available through the U.S. Geological Survey Mineral Resource Data System /

Mode of access: Internet.

Proceedings of the U.S. Nuclear Regulatory Commission Tenth Water Reactor Safety Research Information Meeting, held at National Bureau of Standards, Gaithersburg, Maryland, October 12-15, 1982 /

Includes papers describing research sponsored by the Office of Nuclear Regulatory Research, NRC.

Proceedings of the U.S. Nuclear Regulatory Commission Eleventh Water Reactor Safety Research Information Meeting, held at National Bureau of Standards, Gaithersburg, Maryland, October 24-28, 1983 /

Includes bibliographies.

Transactions of the Eleventh Water Reactor Safety Research Information Meeting, to be held at National Bureau of Standards, Gaithersburg, Maryland, October 24-28, 1983 /

Includes summaries of papers reporting on research sponsored by the office of Nuclear Regulatory Research, USNRC.

Proceedings of the U.S. Nuclear Regulatory Commission Twelfth Water Reactor Safety Research Information Meeting, held at National Bureau of Standards, Gaithersburg, Maryland, October 22-26, 1983 [i.e. 1984] /

Includes bibliographies.

CIDADANIA DIGITAL: Um estudo do programa brasileiro para a sociedade da informação

A pesquisa analisa o Livro Verde, publicado em 2000 pelo Ministério da Ciência e Tecnologia, buscando compreender as ações do Estado na introdução do país na sociedade da informação . O estudo enfoca as iniciativas de inclusão digital estatais e não-governamentais e sua relação com a ampliação da cidadania. A pesquisa faz uso do método documental e da abordagem histórico-crítica para interpretar a ação dos atores públicos e privados na formulação das políticas públicas que definem os objetivos estratégicos e as metas do Brasil para a área das tecnologias da informação e comunicação (TIC).

ENSINO MÉDIO, LÍNGUA PORTUGUESA E PORTAL EDUCACIONAL: percepções emergentes das narrativas de alunos inseridos em práticas de letramento digital

A educação contemporânea está inserida num contexto de velozes e dinâmicas transformações sociais e culturais, principalmente com o avanço e incorporação das Tecnologias Digitais de Informação e Comunicação (TDIC) no cotidiano das pessoas. Na Sociedade da Informação, na Era do Conhecimento, é preciso ir além do saber ler, escrever e digitar. A escola, por sua vez, de maneira ainda morosa, busca adequar-se às exigências do universo digital do qual participam seus agentes. O Ensino Médio, foco de preocupação e reflexão por todos os envolvidos no processo educativo dessa modalidade, tenta alcançar sua proposta de formação integral dos jovens para o exercício do trabalho e da cidadania. À disciplina Língua Portuguesa reserva-se a missão de conciliar o ensino da norma-culta com os gêneros discursivos de tal forma a promover a inclusão digital dos alunos nas diversas circunstâncias de letramento às quais são submetidos. Nesse âmbito, este trabalho investigou: Que percepções dos processos formativos emergem quando os alunos refletem acerca das práticas pedagógicas e das vivências nas aulas de Língua Portuguesa em atividades mediadas por portal educacional? O objetivo geral da pesquisa é provocar a reflexão nos professores, de tal forma que repensem suas práticas pedagógicas e seu papel no processo educativo a fim de promover uma experiência educativa mais condizente com a realidade dos alunos. A metodologia adotada foi a pesquisa qualitativa de cunho investigativo, na modalidade narrativa, sob a luz de Clandinin e Connelly (2011). Pela inserção no cenário e proximidade afetiva com os participantes, assumiu-se o desafio de desenvolver uma pesquisa-ação, para isso, os instrumentos investigativos adotados foram: entrevista semiestruturada, diário de bordo, atividades realizadas no portal, conversas informais e caderno de campo. A análise dos dados permitiu a elaboração de oito categorias de análise, emergentes das narrativas dos participantes: interação e comunicação; sala de aula ampliada; gestão da aprendizagem; o registro de si e do outro; aprendizagem colaborativa e transformadora; incentivo à pesquisa; estudo autônomo; e, desafios. Os resultados alcançados apontaram para reflexões que não se encerram nas páginas deste trabalho, dentre elas destacam-se: a importância de ouvir o aluno para que as propostas pedagógicas sejam revistas e melhoradas; o testar, nas práticas diárias, é fundamental, é o buscar algo além do tradicional, em prol de um objetivo de aprendizagem definido; o desejo de aprender pode despertar no aluno o interesse pelo conhecimento, tornando-o mais autônomo em suas escolhas e caminhos; as TDIC podem colaborar com o processo de ensino e de aprendizagem, porém exigem envolvimento dos sujeitos, pois elas, enquanto instrumentos, não configuram o conhecimento, são os agentes que ao apropriar-se delas têm condições de obter o melhor de suas potencialidades. Futuros trabalhos poderão dar continuidade a este estudo e trazer grandes acréscimos ao contemplar as influências do uso das TDIC no cotidiano da escola, o que, certamente, será de grande contribuição para o cenário atual da Educação brasileira.

Multi-topic information filtering with a single user profile

In Information Filtering (IF) a user may be interested in several topics in parallel. But IF systems have been built on representational models derived from Information Retrieval and Text Categorization, which assume independence between terms. The linearity of these models results in user profiles that can only represent one topic of interest. We present a methodology that takes into account term dependencies to construct a single profile representation for multiple topics, in the form of a hierarchical term network. We also introduce a series of non-linear functions for evaluating documents against the profile. Initial experiments produced positive results.

The mosaic test:benchmarking colour-based image retrieval systems using image mosaics

Evaluation and benchmarking in content-based image retrieval has always been a somewhat neglected research area, making it difficult to judge the efficacy of many presented approaches. In this paper we investigate the issue of benchmarking for colour-based image retrieval systems, which enable users to retrieve images from a database based on lowlevel colour content alone. We argue that current image retrieval evaluation methods are not suited to benchmarking colour-based image retrieval systems, due in main to not allowing users to reflect upon the suitability of retrieved images within the context of a creative project and their reliance on highly subjective ground-truths. As a solution to these issues, the research presented here introduces the Mosaic Test for evaluating colour-based image retrieval systems, in which test-users are asked to create an image mosaic of a predetermined target image, using the colour-based image retrieval system that is being evaluated. We report on our findings from a user study which suggests that the Mosaic Test overcomes the major drawbacks associated with existing image retrieval evaluation methods, by enabling users to reflect upon image selections and automatically measuring image relevance in a way that correlates with the perception of many human assessors. We therefore propose that the Mosaic Test be adopted as a standardised benchmark for evaluating and comparing colour-based image retrieval systems.

Clustering web documents using hierarchical representation with multi-granularity

Web document cluster analysis plays an important role in information retrieval by organizing large amounts of documents into a small number of meaningful clusters. Traditional web document clustering is based on the Vector Space Model (VSM), which takes into account only two-level (document and term) knowledge granularity but ignores the bridging paragraph granularity. However, this two-level granularity may lead to unsatisfactory clustering results with “false correlation”. In order to deal with the problem, a Hierarchical Representation Model with Multi-granularity (HRMM), which consists of five-layer representation of data and a twophase clustering process is proposed based on granular computing and article structure theory. To deal with the zero-valued similarity problemresulted from the sparse term-paragraphmatrix, an ontology based strategy and a tolerance-rough-set based strategy are introduced into HRMM. By using granular computing, structural knowledge hidden in documents can be more efficiently and effectively captured in HRMM and thus web document clusters with higher quality can be generated. Extensive experiments show that HRMM, HRMM with tolerancerough-set strategy, and HRMM with ontology all outperform VSM and a representative non VSM-based algorithm, WFP, significantly in terms of the F-Score.

Discovering the preferences of physicians with regards to rank-ordered medical documents

The practice of evidence-based medicine involves consulting documents from repositories such as Scopus, PubMed, or the Cochrane Library. The most common approach for presenting retrieved documents is in the form of a list, with the assumption that the higher a document is on a list, the more relevant it is. Despite this list-based presentation, it is seldom studied how physicians perceive the importance of the order of documents presented in a list. This paper describes an empirical study that elicited and modeled physicians' preferences with regard to list-based results. Preferences were analyzed using a GRIP method that relies on pairwise comparisons of selected subsets of possible rank-ordered lists composed of 3 documents. The results allow us to draw conclusions regarding physicians' attitudes towards the importance of having documents ranked correctly on a result list, versus the importance of retrieving relevant but misplaced documents. Our findings should help developers of clinical information retrieval applications when deciding how retrieved documents should be presented and how performance of the application should be assessed. © 2012 Springer-Verlag Berlin Heidelberg.