25 resultados para semantic interoperability
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O trabalho proposto tem como objetivo apresentar um projeto de elaboração de um sistema de informação que visa gerir o desenvolvimento de uma ontologia promovida pelo organismo de coordenação da política arquivística para a classificação e avaliação da informação na Administração Central e Local, em Portugal. Entre os produtos propostos a partir do referido sistema, conta-se um website no qual é possível consultar toda a informação contida na ontologia, bem como descarregar versões da mesma, com níveis diferentes de semântica. A referida ontologia foi promovida pelo órgão coordenador da política arquivística portuguesa, e tem por base uma Lista consolidada (LC) de processos de processos de negócio da Administração Pública (AP). Esta lista de natureza incremental e colaborativa foi desenvolvida a partir da identificação de uma macroestrutura representativa das funções exercidas pela AP, a Macroestrutura Funcional (MEF). Concretizado este produto e colocado à disposição da comunidade, na página oficial da Direção-Geral do Livro, dos Arquivos e das Bibliotecas (DGLAB), importa potenciar a sua aplicabilidade. Neste sentido, encontra-se em curso um projeto que envolve os autores, em contexto universitário, orientado para o desenvolvimento de um vocabulário formal, um modelo de dados que represente este conjunto de conceitos referentes aos processos de negócio e aos relacionamentos entre eles. Pretende-se que esta ontologia possa vir a ser disponibilizada em listas ou diretórios de ontologias com mecanismos de pesquisa (bibliotecas de ontologias) de modo a incrementar a sua utilização na web semântica, para além da sua utilização como esquema de classificação em sistemas eletrónicos de gestão de arquivos (SEGA), businesse intelligence systems e sistemas de gestão do conhecimento. Com esta comunicação pretende-se dar a conhecer à comunidade de profissionais um projeto de aplicação transversal para todas as entidades públicas e para as empresas com interesse na área.
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OpenAIRE supports the European Commission Open Access policy by providing an infrastructure for researchers to comply with the European Union Open Access mandate. The current OpenAIRE infrastructure and services, resulting from OpenAIRE and OpenAIREplus FP7 projects, builds on Open Access research results from a wide range of repositories and other data sources: institutional or thematic publication repositories, Open Access journals, data repositories, Current Research Information Systems and aggregators. (...)
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Tese de Doutoramento em Ciências da Educação (área de especialização em Tecnologia Educativa)
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Dissertação de mestrado em Construção e Reabilitação Sustentáveis
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When a pregnant woman is guided to a hospital for obstetrics purposes, many outcomes are possible, depending on her current conditions. An improved understanding of these conditions could provide a more direct medical approach by categorizing the different types of patients, enabling a faster response to risk situations, and therefore increasing the quality of services. In this case study, the characteristics of the patients admitted in the maternity care unit of Centro Hospitalar of Porto are acknowledged, allowing categorizing the patient women through clustering techniques. The main goal is to predict the patients’ route through the maternity care, adapting the services according to their conditions, providing the best clinical decisions and a cost-effective treatment to patients. The models developed presented very interesting results, being the best clustering evaluation index: 0.65. The evaluation of the clustering algorithms proved the viability of using clustering based data mining models to characterize pregnant patients, identifying which conditions can be used as an alert to prevent the occurrence of medical complications.
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An increasing number of m-Health applications are being developed benefiting health service delivery. In this paper, a new methodology based on the principle of calm computing applied to diagnostic and therapeutic procedure reporting is proposed. A mobile application was designed for the physicians of one of the Portuguese major hospitals, which takes advantage of a multi-agent interoperability platform, the Agency for the Integration, Diffusion and Archive (AIDA). This application allows the visualization of inpatients and outpatients medical reports in a quicker and safer manner, in addition to offer a remote access to information. This project shows the advantages in the use of mobile software in a medical environment but the first step is always to build or use an interoperability platform, flexible, adaptable and pervasive. The platform offers a comprehensive set of services that restricts the development of mobile software almost exclusively to the mobile user interface design. The technology was tested and assessed in a real context by intensivists.
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In Maternity Care, a quick decision has to be made about the most suitable delivery type for the current patient. Guidelines are followed by physicians to support that decision; however, those practice recommendations are limited and underused. In the last years, caesarean delivery has been pursued in over 28% of pregnancies, and other operative techniques regarding specific problems have also been excessively employed. This study identifies obstetric and pregnancy factors that can be used to predict the most appropriate delivery technique, through the induction of data mining models using real data gathered in the perinatal and maternal care unit of Centro Hospitalar of Oporto (CHP). Predicting the type of birth envisions high-quality services, increased safety and effectiveness of specific practices to help guide maternity care decisions and facilitate optimal outcomes in mother and child. In this work was possible to acquire good results, achieving sensitivity and specificity values of 90.11% and 80.05%, respectively, providing the CHP with a model capable of correctly identify caesarean sections and vaginal deliveries.
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When representing the requirements for an intended software solution during the development process, a logical architecture is a model that provides an organized vision of how functionalities behave regardless of the technologies to be implemented. If the logical architecture represents an ambient assisted living (AAL) ecosystem, such representation is a complex task due to the existence of interrelated multidomains, which, most of the time, results in incomplete and incoherent user requirements. In this chap- ter, we present the results obtained when applying process-level modeling techniques to the derivation of the logical architecture for a real industrial AAL project. We adopt a V-Model–based approach that expresses the AAL requirements in a process-level perspec- tive, instead of the traditional product-level view. Additionally, we ensure compliance of the derived logical architecture with the National Institute of Standards and Technology (NIST) reference architecture as nonfunctional requirements to support the implementa- tion of the AAL architecture in cloud contexts.
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Este artigo descreve a experiência prática de um trabalho realizado em sala de aula, que trata de agregar técnicas facilitadoras do desenvolvimento da criatividade, num processo de criação de moda. O método usado foi adaptado para o design de moda, através da utilização das técnicas de “brainstorming”, “mapas mentais” e “painéis semânticos” conjugados num exercício prático-experimental de criatividade. O objetivo deste estudo consiste em analisar o desempenho criativo dos alunos e as possibilidades resultantes da utilização e adaptação de tais metodologias de criatividade em design de moda.
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Dissertação de mestrado em Engenharia de Telecomunicações e Informática
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Background: Abnormalities in emotional prosody processing have been consistently reported in schizophrenia and are related to poor social outcomes. However, the role of stimulus complexity in abnormal emotional prosody processing is still unclear. Method: We recorded event-related potentials in 16 patients with chronic schizophrenia and 16 healthy controls to investigate: 1) the temporal course of emotional prosody processing; and 2) the relative contribution of prosodic and semantic cues in emotional prosody processing. Stimuli were prosodic single words presented in two conditions: with intelligible (semantic content condition—SCC) and unintelligible semantic content (pure prosody condition—PPC). Results: Relative to healthy controls, schizophrenia patients showed reduced P50 for happy PPC words, and reduced N100 for both neutral and emotional SCC words and for neutral PPC stimuli. Also, increased P200 was observed in schizophrenia for happy prosody in SCC only. Behavioral results revealed higher error rates in schizophrenia for angry prosody in SCC and for happy prosody in PPC. Conclusions: Together, these data further demonstrate the interactions between abnormal sensory processes and higher-order processes in bringing about emotional prosody processing dysfunction in schizophrenia. They further suggest that impaired emotional prosody processing is dependent on stimulus complexity.
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This study used event-related potentials to examine interactions between mood, sentence context, and semantic memory structure in schizophrenia. Seventeen male chronic schizophrenia and 15 healthy control subjects read sentence pairs after positive, negative, or neutral mood induction. Sentences ended with expected words (EW), within-category violations (WCV), or between-category violations (BCV). Across all moods, patients showed sensitivity to context indexed by reduced N400 to EW relative to both WCV and BCV. However, they did not show sensitivity to the semantic memory structure. N400 abnormalities were particularly enhanced under a negative mood in schizophrenia. These findings suggest abnormal interactions between mood, context processing, and connections within semantic memory in schizophrenia, and a specific role of negative mood in modulating semantic processes in this disease.
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Recent studies have demonstrated the positive effects of musical training on the perception of vocally expressed emotion. This study investigated the effects of musical training on event-related potential (ERP) correlates of emotional prosody processing. Fourteen musicians and fourteen control subjects listened to 228 sentences with neutral semantic content, differing in prosody (one third with neutral, one third with happy and one third with angry intonation), with intelligible semantic content (semantic content condition--SCC) and unintelligible semantic content (pure prosody condition--PPC). Reduced P50 amplitude was found in musicians. A difference between SCC and PPC conditions was found in P50 and N100 amplitude in non-musicians only, and in P200 amplitude in musicians only. Furthermore, musicians were more accurate in recognizing angry prosody in PPC sentences. These findings suggest that auditory expertise characterizing extensive musical training may impact different stages of vocal emotional processing.
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Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática
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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores