Pesquisa de clip arts combinando imagens raster e vectoriais

Existe actualmente um crescente desenvolvimento de sistemas de armazenamento e pesquisa de imagens. Uma aproximação adoptada nesses sistemas é a recuperação de imagens baseada em conteúdo (CBIR, Content-Based Image Retrieval). No âmbito destas aplicações existem utilizadores que pretendem utilizar imagens clip art para os seus trabalhos e apresentações. Existem muitas imagens clip art espalhadas por diversas bases de dados em sítios na Internet ou em colecções vendidas em dispositivos ópticos. A pesquisa de imagens nestas bases de dados leva os utilizadores a percorrem várias listas de imagens manualmente ou por métodos de pesquisa por texto, muitas vezes ineficientes. Essas bases de dados de clip arts são representadas por imagens vectoriais e imagens raster. Existem várias tecnologias de pesquisa e recuperação de ambos os tipos de imagens clip art, raster e vectoriais, contudo, a investigação tem sido realizada em separado sem retirar partido das duas áreas de investigação em conjunto, no problema de recuperar e explorar colecções de clip arts. O objectivo deste trabalho é implementar um motor de busca para encontrar clip arts em base de dados compostas por imagens vectoriais e imagens raster. O trabalho envolve um conversor de imagens raster em vectoriais, a extracção de características das imagens raster e vectoriais e a avaliação do sistema de recuperação de clip arts.

Improving search engines with open Web-based SKOS vocabularies

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Potencial Utilização de um Enterprise Resource Planning System para Suportar Práticas de Gestão de Conhecimento nas Organizações. Uma Aplicação com Dynamics Nav da Microsoft

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Web-application for gathering, analyzing, and processing health information about allergy data

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

A technology market transfer for the Zonadvanced video technology

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Narrative Bifurcation, Cloud Computing Interfaces and Hitchcok

From a narratological perspective, this paper aims to address the theoretical issues concerning the functioning of the so called «narrative bifurcation» in data presentation and information retrieval. Its use in cyberspace calls for a reassessment as a storytelling device. Films have shown its fundamental role for the creation of suspense. Interactive fiction and games have unveiled the possibility of plots with multiple choices, giving continuity to cinema split-screen experiences. Using practical examples, this paper will show how this storytelling tool returns to its primitive form and ends up by conditioning cloud computing interface design.

Development of a satellite based PM10 concentration product for urban areas

Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente

Semantic enrichment of knowledge sources supported by domain ontologies

This thesis introduces a novel conceptual framework to support the creation of knowledge representations based on enriched Semantic Vectors, using the classical vector space model approach extended with ontological support. One of the primary research challenges addressed here relates to the process of formalization and representation of document contents, where most existing approaches are limited and only take into account the explicit, word-based information in the document. This research explores how traditional knowledge representations can be enriched through incorporation of implicit information derived from the complex relationships (semantic associations) modelled by domain ontologies with the addition of information presented in documents. The relevant achievements pursued by this thesis are the following: (i) conceptualization of a model that enables the semantic enrichment of knowledge sources supported by domain experts; (ii) development of a method for extending the traditional vector space, using domain ontologies; (iii) development of a method to support ontology learning, based on the discovery of new ontological relations expressed in non-structured information sources; (iv) development of a process to evaluate the semantic enrichment; (v) implementation of a proof-of-concept, named SENSE (Semantic Enrichment kNowledge SourcEs), which enables to validate the ideas established under the scope of this thesis; (vi) publication of several scientific articles and the support to 4 master dissertations carried out by the department of Electrical and Computer Engineering from FCT/UNL. It is worth mentioning that the work developed under the semantic referential covered by this thesis has reused relevant achievements within the scope of research European projects, in order to address approaches which are considered scientifically sound and coherent and avoid “reinventing the wheel”.

Automatic extraction of concepts from texts and applications

The extraction of relevant terms from texts is an extensively researched task in Text- Mining. Relevant terms have been applied in areas such as Information Retrieval or document clustering and classification. However, relevance has a rather fuzzy nature since the classification of some terms as relevant or not relevant is not consensual. For instance, while words such as "president" and "republic" are generally considered relevant by human evaluators, and words like "the" and "or" are not, terms such as "read" and "finish" gather no consensus about their semantic and informativeness. Concepts, on the other hand, have a less fuzzy nature. Therefore, instead of deciding on the relevance of a term during the extraction phase, as most extractors do, I propose to first extract, from texts, what I have called generic concepts (all concepts) and postpone the decision about relevance for downstream applications, accordingly to their needs. For instance, a keyword extractor may assume that the most relevant keywords are the most frequent concepts on the documents. Moreover, most statistical extractors are incapable of extracting single-word and multi-word expressions using the same methodology. These factors led to the development of the ConceptExtractor, a statistical and language-independent methodology which is explained in Part I of this thesis. In Part II, I will show that the automatic extraction of concepts has great applicability. For instance, for the extraction of keywords from documents, using the Tf-Idf metric only on concepts yields better results than using Tf-Idf without concepts, specially for multi-words. In addition, since concepts can be semantically related to other concepts, this allows us to build implicit document descriptors. These applications led to published work. Finally, I will present some work that, although not published yet, is briefly discussed in this document.

A Directiva 2011-24-UE, relativa ao exercício dos direitos dos doentes em matéria de cuidados transfronteiriços : análise : potenciais repercussões no direito de acesso aos cuidados de saúde transfronteiriços em Portugal

RESUMO - 1. INTRODUÇÃO: Ao longo dos tempos, assistiu-se a um aumento da importância da Saúde Pública na Comunidade Europeia, mas só há relativamente pouco tempo teve o merecido lugar de destaque à luz da legislação comunitária. Neste contexto e com a adopção do Programa Europeu de Saúde Pública, surge a necessidade de actualizar o pensamento nesta área. Assim, é identificada uma oportunidade para formular uma estratégia, que seja passível de reduzir desigualdades e que também em compreenda as necessidades de saúde. Com o expandir da questão e com o propósito de reduzir as desigualdades, surge a Directiva 2011/24/UE, que visa regulamentar os direitos dos doentes em matéria de cuidados transfronteiriços. 2. OBJETIVO: Este trabalho apresenta como objetivo primordial analisar a Directiva 2011/24/UE, bem como a Lei n.º 52/2014, de 25 de Agosto, e identificar as principais barreiras, ao exercício do direito de acesso aos cuidados de saúde transfronteiriços, pelos beneficiários do SNS em Portugal, derivadas da aplicação de tais instrumentos legais. 3. METODOLOGIA: Foi utilizada uma abordagem analítica e documental, baseada na metodologia qualitativa. 4. CONCLUSÕES: As principais barreiras ao direito de acesso aos cuidados de saúde transfronteiriços, para os beneficiários do SNS em Portugal, são de ordem financeira, linguística e cultural, informacional, de mobilidade física, de proximidade geográfica, de carácter administrativo e de continuidade dos cuidados. A transposição da Directiva 2011/24/UE para o quadro jurídico português resulta essencialmente em iniquidades no âmbito do acesso aos cuidados de saúde transfronteiriços.

Estudo das Perceções dos profissionais I-D sobre a qualidade da Informação e o seu impacto no desempenho dos serviços

O estudo da perceção dos Profissionais I-D sobre a qualidade da informação no desempenho das suas funções insere-se numa estratégia de investigação emergente em Portugal de gestão baseada em evidências, em que se pretende estudar e debater a problemática da qualidade da informação na formação dos futuros Profissionais da Informação. O universo estudado é o grupo de licenciados em Ciências da Informação e da Documentação pela Universidade Aberta que colaborou por meio da realização de um questionário através do Google Drive. É objetivo deste trabalho determinar a importância das dimensões da qualidade de informação em vários e heterogéneos domínios, nomeadamente; na tomada de decisão, na gestão da informação e no impacto no desempenho, seja em contexto privado ou laboral. As dimensões consideradas relevantes pelos respondentes foram as seguintes: qualidade da informação, quantidade de informação, acessibilidade, disponibilidade, usabilidade, compreensão, relevância, formato, concisão, impacto individual, aprendizagem, eficácia na decisão, impacto organizacional, tempo de resposta, objetividade e credibilidade da informação. Existe uma perceção generalizada na amostra estudada para que a qualidade da informação seja associada às características de fiabilidade, organização, concisão, facilidade de obtenção, pertinência, rapidez e segurança. Com efeito, é relevante e de indesmentível importância discutir no contexto académico o valor da informação por meio da avaliação dos seus atributos de qualidade, a fim de se dinamizarem novos indicadores e desempenhos que apontem para a efetividade das informações que são disponibilizadas em múltiplas situações informacionais.

Video metadata extraction in a videoMail system

Currently the world swiftly adapts to visual communication. Online services like YouTube and Vine show that video is no longer the domain of broadcast television only. Video is used for different purposes like entertainment, information, education or communication. The rapid growth of today’s video archives with sparsely available editorial data creates a big problem of its retrieval. The humans see a video like a complex interplay of cognitive concepts. As a result there is a need to build a bridge between numeric values and semantic concepts. This establishes a connection that will facilitate videos’ retrieval by humans. The critical aspect of this bridge is video annotation. The process could be done manually or automatically. Manual annotation is very tedious, subjective and expensive. Therefore automatic annotation is being actively studied. In this thesis we focus on the multimedia content automatic annotation. Namely the use of analysis techniques for information retrieval allowing to automatically extract metadata from video in a videomail system. Furthermore the identification of text, people, actions, spaces, objects, including animals and plants. Hence it will be possible to align multimedia content with the text presented in the email message and the creation of applications for semantic video database indexing and retrieving.

Instrumental Fado: a generative interactive system

Fado was listed as UNESCO Intangible Cultural Heritage in 2011. This dissertation describes a theoretical model, as well as an automatic system, able to generate instrumental music based on the musics and vocal sounds typically associated with fado’s practice. A description of the phenomenon of fado, its musics and vocal sounds, based on ethnographic, historical sources and empirical data is presented. The data includes the creation of a digital corpus, of musical transcriptions, identified as fado, and statistical analysis via music information retrieval techniques. The second part consists in the formulation of a theory and the coding of a symbolic model, as a proof of concept, for the automatic generation of instrumental music based on the one in the corpus.

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

Product quality judgments in a two-sequence cue environment

Previous research demonstrated that the sequence of informational cues and the level of distraction have an impact on the judgment of a product’s quality. This study investigates the influence of the force behind the processing of these cues, working memory (WM). The results indicate that without distraction, consumers with low and high WM capacity (WMC) equally base their product evaluation on the first sequential cue. In the presence of a distractor, however, low WM individuals are no longer able to recall the initial cue, and thus derive their product judgment from the final cue. Moreover, evidence of intercultural differences in the perception of product related cues, and their aptitude for signaling a favorable product quality is provided.