973 resultados para Information access


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Pós-graduação em Ciência da Informação - FFC

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Introduction: This paper presents preliminary results of the research project "Information access: actions and strategies of the Chamber of Deputies to meet 12.527/2011 Law”. Finally some considerations about the implementation of the Law within the Chamber of Deputies are presented. Objectives: Discuss the matter of public information access after the new Brazilian information access law and his relationship between the theories information policy, information regime and informational state. Methodology: Bibliographic research about several theoretical topics related to information access were raised, for example: the concept of information, information policy, informational state, information regime, electronic government and information asymmetry. Results: The preliminaries data shows a convergence of information policies from many countries, for example, Finland, Canada and South Africa, to a same point, which indicates an increase of transparency and a bigger active disclosure of information public. Conclusion: In Brazilian case, in the relationship between State and citizen, the new information access law means a materialization paradigm change or the concretization de other information regime. The sanction of this law can be interpreted as another step to increase the transparency and the affirmation of democratic relationship between State and society.

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The Information Access law, sanctioned in November 18, 2011, regulates the constitutional right of access to public information by Brazilian citizens. Although this law requires the provision of information of public interest, it does not define how such information should be made available. Ideally, information should be in an open format, allowing its use in an efficient and fast way. In the official sites of the federal government the way information is currently available does not allow its reuse as they are presented in dynamic pages from the selection parameters and filters. The objective aim of this paper is to present the system called MDDIR Tool, which proposes ways to persist, represent and retrieve digital information resources generated by the Federal Government official sites. Although this system had been designed for a specific purpose, it may be applied to other fields with similar characteristics. The purpose is to facilitate the access to open data, allowing such data to be consolidated and organized , generating new knowledge and information easy to be interpreted by the general population.

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The context political, social and economical determines the material conditions of the individual's cultural formation and it influences in the constitution of the critical conscience and social responsibility. The aim of this paper is to describe the didactic experiences from discussions in classroom with students in disciplines dedicated to information access in the Brazilian librarianship courses from São Paulo State University (Unesp), state of São Paulo, and Federal University of Alagoas (UFAL), state of Alagoas, precisely: Information Dissemination, supplied in 2007 and 2010, and Information Dissemination and Sources, supplied in 2008 and 2009, besides Library and Cultural Action, accomplished of 2008 to 2009. It was noticed, starting from the experience in classroom, that the Librarianship students have low knowledge of the institutions librarians and their services; they told that not to know the main library services before they study them referred disciplines.

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Pós-graduação em Ciência da Informação - FFC

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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)

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Based on the Ricker/Witmer survey on Library Support for Science Research and Education, a brief statistical analysis of the Bucknell University community and library support for science and engineering research and education is provided. The position and responsibilities of Reference Librarian/Coordinator of Science and Engineering Resources in the Ellen Clarke Bertrand Library are detailed. Throughout the article, I describe the motivation and justification for an integrated university library collection, which serves not only the Science and Engineering faculty and students, but the entire Bucknell University community. The issues of finance and budget, public service, and information access and delivery in relation to a central university library are discussed.

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The purpose of this volume is to present a picture of information access and delivery by United States and Canadian academic veterinary medical libraries (VMLs) to the veterinary community and others with interests in the profession. This is done by discussing the resources that are available, as well as methods of delivery of that information. Our discussion of these topics will not only point out the unique aspects of these collections and services, but will also illustrate much that is in common with all medical collections and library services. As with all libraries, the goal of VMLs is to provide high quality service while looking after the information needs of their clientele through selection, acquisition, cataloging, and dissemination of materials and familiarizing their users with these resources. In the past decade, new challenges and opportunities for information specialists stem from the impact of technology on VMLs. Our goal with this volume is to be concise, but thorough about all of these topics.

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For the main part, electronic government (or e-government for short) aims to put digital public services at disposal for citizens, companies, and organizations. To that end, in particular, e-government comprises the application of Information and Communications Technology (ICT) to support government operations and provide better governmental services (Fraga, 2002) as possible with traditional means. Accordingly, e-government services go further as traditional governmental services and aim to fundamentally alter the processes in which public services are generated and delivered, after this manner transforming the entire spectrum of relationships of public bodies with its citizens, businesses and other government agencies (Leitner, 2003). To implement this transformation, one of the most important points is to inform the citizen, business, and/or other government agencies faithfully and in an accessible way. This allows all the partaking participants of governmental affairs for a transition from passive information access to active participation (Palvia and Sharma, 2007). In addition, by a corresponding handling of the participants' data, a personalization towards these participants may even be accomplished. For instance, by creating significant user profiles as a kind of participants' tailored knowledge structures, a better-quality governmental service may be provided (i.e., expressed by individualized governmental services). To create such knowledge structures, thus known information (e.g., a social security number) can be enriched by vague information that may be accurate to a certain degree only. Hence, fuzzy knowledge structures can be generated, which help improve governmental-participants relationship. The Web KnowARR framework (Portmann and Thiessen, 2013; Portmann and Pedrycz, 2014; Portmann and Kaltenrieder, 2014), which I introduce in my presentation, allows just all these participants to be automatically informed about changes of Web content regarding a- respective governmental action. The name Web KnowARR thereby stands for a self-acting entity (i.e. instantiated form the conceptual framework) that knows or apprehends the Web. In this talk, the frameworks respective three main components from artificial intelligence research (i.e. knowledge aggregation, representation, and reasoning), as well as its specific use in electronic government will be briefly introduced and discussed.

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ImageCLEF is a pilot experiment run at CLEF 2003 for cross language image retrieval using textual captions related to image contents. In this paper, we describe the participation of the MIRACLE research team (Multilingual Information RetrievAl at CLEF), detailing the different experiments and discussing their preliminary results.

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The Web has witnessed an enormous growth in the amount of semantic information published in recent years. This growth has been stimulated to a large extent by the emergence of Linked Data. Although this brings us a big step closer to the vision of a Semantic Web, it also raises new issues such as the need for dealing with information expressed in different natural languages. Indeed, although the Web of Data can contain any kind of information in any language, it still lacks explicit mechanisms to automatically reconcile such information when it is expressed in different languages. This leads to situations in which data expressed in a certain language is not easily accessible to speakers of other languages. The Web of Data shows the potential for being extended to a truly multilingual web as vocabularies and data can be published in a language-independent fashion, while associated language-dependent (linguistic) information supporting the access across languages can be stored separately. In this sense, the multilingual Web of Data can be realized in our view as a layer of services and resources on top of the existing Linked Data infrastructure adding i) linguistic information for data and vocabularies in different languages, ii) mappings between data with labels in different languages, and iii) services to dynamically access and traverse Linked Data across different languages. In this article we present this vision of a multilingual Web of Data. We discuss challenges that need to be addressed to make this vision come true and discuss the role that techniques such as ontology localization, ontology mapping, and cross-lingual ontology-based information access and presentation will play in achieving this. Further, we propose an initial architecture and describe a roadmap that can provide a basis for the implementation of this vision.

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With the advancement of Information and Communication Technology ICT which favors increasingly fast, easy, and accessible communication for all and which can reach large groups of people, there have been changes, in recent years in our society that have modified the way we interact, communicate and transmit information. Access to this, it is possible, not only through computers situated in a fixed location, but new mobile devices make it available, wherever the user happens to be located. Now, information "travels" with the user. These forms of communication, transmission and access to information, have also affected the way to conceive and manage business. To these new forms of business that the Internet has brought, is now added the concept of companies in the Cloud Computing ClC. The ClC technology is based on the supply and consumption of services on demand and pay per use, and it gives a 180 degree turn to the business management concept. Small and large businesses may use the latest developments in ICT, to manage their organizations without the need for expensive investments in them. This will enable enterprises to focus more specifically within the scope of their business, leaving the ICT control to the experts. We believe that education can also and should benefit from these new philosophies. ?Due to the global economic crisis in general and each country in particular, economic cutbacks have come to most universities. These are seen in the need to raise tuition rates, which makes increasingly fewer students have the opportunity to pursue higher education?. In this paper we propose using ClC technologies in universities and we make a dissertation on the advantages that it can provide to both: universities and students. For the universities, we expose two focuses, one: ?to reorganize university ICT structures with the ClC philosophy? and the other one, ?to extend the offer of the university education with education on demand?. Regarding the former we propose to use public or private Clouds, to reuse resources across the education community, to save costs on infrastructure investment, in upgrades and in maintenance of ICT, and paying only for what you use and with the ability to scale according to needs. Regarding the latter, we propose an educational model in the ClC, to increase the current university offerings, using educational units in the form of low-cost services and where students pay only for the units consumed on demand. For the students, they could study at any university in the world (virtually), from anywhere, without travel costs: money and time, and what is most important paying only for what they consume. We think that this proposal of education on demand may represent a great change in the current educational model, because strict registration deadlines disappear, and also the problem of economically disadvantaged students, who will not have to raise large amounts of money for an annual tuition. Also it will decrease the problem of loss of the money invested in an enrollment when the student dropout. In summary we think that this proposal is interesting for both, universities and students, we aim for "Higher education from anywhere, with access from any mobile device, at any time, without requiring large investments for students, and with reuse and optimization of resources by universities. Cost by consumption and consumption by service?. We argue for a Universal University "wisdom and knowledge accessible to all?

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This paper describes our participation at the RepLab 2014 reputation dimensions scenario. Our idea was to evaluate the best combination strategy of a machine learning classifier with a rule-based algorithm based on logical expressions of terms. Results show that our baseline experiment using just Naive Bayes Multinomial with a term vector model representation of the tweet text is ranked second among runs from all participants in terms of accuracy.

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This paper describes our participation at PAN 2014 author profiling task. Our idea was to define, develop and evaluate a simple machine learning classifier able to guess the gender and the age of a given user based on his/her texts, which could become part of the solution portfolio of the company. We were interested in finding not the best possible classifier that achieves the highest accuracy, but to find the optimum balance between performance and throughput using the most simple strategy and less dependent of external systems. Results show that our software using Naive Bayes Multinomial with a term vector model representation of the text is ranked quite well among the rest of participants in terms of accuracy.