961 resultados para Semantic priming


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Semantic Web Class 2016 by Nick Gibbins and Steffen Staab

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RDFa JSON-LD Microdata

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Presentation at WAIS Away Day, April 2016

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Semantic memory has been studied from various fields. The first models emerged from cognitive psychology from the hand of the division proposed by Tulving between semantic and episodic memory. Over the past thirty years there have been parallel developments in the fields of psycholinguistics, cognitive psychology and cognitive neuropsychology. The present work is to review the contributions that have emerged within the neuropsychology to the study of semantic memory and to present an updated overview of the points of consensus. First, it is defined the term "semantics" conceptually within the field of neuropsychology. Then, there is a dichotomy that passes through both psychological and neuropsychological models on semantic memory: the existence of modals versus amodal representations. Third, there are  developed the main theoretical models in neuropsychology that emerged in an attempt to explain categoryspecific semantic deficits. Finally, more robust contributions and points that still generate some discussion are reviewed.

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Resumen en inglés. Resumen basado en el de la publicación

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Este proyecto intenta validar los efectos beneficiosos de un programa de aprendizaje apoyado en el efecto priming, para paliar los déficits socioemocionales de niños autistas. Los objetivos son elaborar un programa de enseñanza de habilidades socioemocionales destinado a la integración social de personas con autismo; validación del programa a efectos de aprendizaje de habilidades; generalización a través del ensayo del efecto priming; y elaboración de normas criteriales de éxito del progrma en función de las variables de carácter clínico, neuropsicológico, cognitivo, edad y sexo. Para desarrollarlo, primero se preparan los materiales didácticos y se forma a los profesores. Después se selecciona a los alumnos y se analiza su comportamiento socioeconómico para elaborar la línea base de actuación individual. Por último, se aplica el programa en el aula y luego en situaciones sociales reales. La evaluación se circunscribe a la selección de sujetos según criterios clínicos y a la valoración de los resultados alcanzados con el diseño pre-post test. Para cuantificar las interacciones sociales se acude a la observación natural.

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Resumen basado en el de la publicaci??n

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Os placebos têm sido estudados ao longo dos tempos, apresentando resultados em várias áreas e potencialidades ainda por descobrir. A maneira como os utilizar e explorar mantém-se em aberto em várias áreas de intervenção. Este trabalho pretendeu, com a elaboração de dois artigos, analisar a influência do priming, mindfulness e efeito placebo na actividade física e exercício físico, no que diz respeito a parâmetros de composição corporal e hemodinâmica. Para isso realizou-se a revisão sistemática da literatura do artigo 1, que tinha como objectivo analisar a influência do Priming e Mindfulness como facilitadores do Efeito Placebo com base na Actividade Física, Exercício Físico e alteração de comportamentos visando a saúde. No artigo 2, definiu-se como objectivo principal analisar a influência de uma intervenção com priming na actividade física, composição corporal e pressão arterial em sujeitos com uma actividade profissional blue collar. Os resultados apontam para a validade do priming como instrumento despoletador de mudança no comportamento e efeito placebo. A intervenção realizada não surtiu os efeitos esperados no grupo experimental. O grupo de controlo, por algum factor não controlado, revelou melhorias significativas na maioria dos parâmetros avaliados. Verificou-se que o priming pode ser um instrumento válido na mudança de comportamentos, havendo ainda a necessidade de compreender melhor como é que se deverá aplicar esta ferramenta ao contexto do exercício físico. Um estado de mindfulness mais elevado parece estar associado à facilitação da mudança de comportamento.

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Federmeier and Benjamin (2005) have suggested that semantic encoding for verbal information in the right hemisphere can be more effective when memory demands are higher. However, other studies (Kanske & Kotz, 2007) also suggest that visual word recognition differ in function of emotional valence. In this context, the present study was designed to evaluate the effects of retention level upon recognition memory processes for negative and neutral words. Sample consisted of 15 right-handed undergraduate portuguese students with normal or corrected to normal vision. Portuguese concrete negative and neutral words were selected in accordance to known linguistic capabilities of the right hemisphere. The participants were submitted to a visual half-field word presentation using a continuous recognition memory paradigm. Eye movements were continuously monitored with a Tobii T60 eye-tracker that showed no significant differences in fixations to negative and neutral words. Reaction times in word recognition suggest an overall advantage of negative words in comparison to the neutral words. Further analysis showed faster responses for negative words than for neutral words when were recognised at longer retention intervals for left-hemisphere encoding. Electrophysiological data through event related potentials revealed larger P2 amplitude over centro-posterior electrode sites for words studied in the left hemifield suggesting a priming effect for right-hemisphere encoding. Overall data suggest different hemispheric memory strategies for the semantic encoding of negative and neutral words.

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In this paper, we introduce a novel high-level visual content descriptor which is devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt to bridge the so called “semantic gap”. The proposed image feature vector model is fundamentally underpinned by the image labelling framework, called Collaterally Confirmed Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts of the images with the state-of-the-art low-level image processing and visual feature extraction techniques for automatically assigning linguistic keywords to image regions. Two different high-level image feature vector models are developed based on the CCL labelling of results for the purposes of image data clustering and retrieval respectively. A subset of the Corel image collection has been used for evaluating our proposed method. The experimental results to-date already indicates that our proposed semantic-based visual content descriptors outperform both traditional visual and textual image feature models.

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The storage and processing capacity realised by computing has lead to an explosion of data retention. We now reach the point of information overload and must begin to use computers to process more complex information. In particular, the proposition of the Semantic Web has given structure to this problem, but has yet realised practically. The largest of its problems is that of ontology construction; without a suitable automatic method most will have to be encoded by hand. In this paper we discus the current methods for semi and fully automatic construction and their current shortcomings. In particular we pay attention the application of ontologies to products and the particle application of the ontologies.

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Currently many ontologies are available for addressing different domains. However, it is not always possible to deploy such ontologies to support collaborative working, so that their full potential can be exploited to implement intelligent cooperative applications capable of reasoning over a network of context-specific ontologies. The main problem arises from the fact that presently ontologies are created in an isolated way to address specific needs. However we foresee the need for a network of ontologies which will support the next generation of intelligent applications/devices, and, the vision of Ambient Intelligence. The main objective of this paper is to motivate the design of a networked ontology (Meta) model which formalises ways of connecting available ontologies so that they are easy to search, to characterise and to maintain. The aim is to make explicit the virtual and implicit network of ontologies serving the Semantic Web.

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