985 resultados para Semantic Web -- TFM
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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática
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The changes introduced into the European Higher Education Area (EHEA) by the Bologna Process, together with renewed pedagogical and methodological practices, have created a new teaching-learning paradigm: Student-Centred Learning. In addition, the last few years have been characterized by the application of Information Technologies, especially the Semantic Web, not only to the teaching-learning process, but also to administrative processes within learning institutions. On one hand, the aim of this study was to present a model for identifying and classifying Competencies and Learning Outcomes and, on the other hand, the computer applications of the information management model were developed, namely a relational Database and an Ontology.
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Thesis submitted to Faculdade de Ciências e Tecnologia of the Universidade Nova de Lisboa, in partial fulfillment of the requirements for the degree of Master in Computer Science
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Mestrado em Engenharia Informática - Área de Especialização em Tecnologias do Conhecimento e Decisão
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WWW is a huge, open, heterogeneous system, however its contents data is mainly human oriented. The Semantic Web needs to assure that data is readable and “understandable” to intelligent software agents, though the use of explicit and formal semantics. Ontologies constitute a privileged artifact for capturing the semantic of the WWW data. Temporal and spatial dimensions are transversal to the generality of knowledge domains and therefore are fundamental for the reasoning process of software agents. Representing temporal/spatial evolution of concepts and their relations in OWL (W3C standard for ontologies) it is not straightforward. Although proposed several strategies to tackle this problem but there is still no formal and standard approach. This work main goal consists of development of methods/tools to support the engineering of temporal and spatial aspects in intelligent systems through the use of OWL ontologies. An existing method for ontology engineering, Fonte was used as framework for the development of this work. As main contributions of this work Fonte was re-engineered in order to: i) support the spatial dimension; ii) work with OWL Ontologies; iii) and support the application of Ontology Design Patterns. Finally, the capabilities of the proposed approach were demonstrated by engineering time and space in a demo ontology about football.
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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Dissertação para obtenção do Grau de Mestre em Lógica Computacional
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Hybrid knowledge bases are knowledge bases that combine ontologies with non-monotonic rules, allowing to join the best of both open world ontologies and close world rules. Ontologies shape a good mechanism to share knowledge on theWeb that can be understood by both humans and machines, on the other hand rules can be used, e.g., to encode legal laws or to do a mapping between sources of information. Taking into account the dynamics present today on the Web, it is important for these hybrid knowledge bases to capture all these dynamics and thus adapt themselves. To achieve that, it is necessary to create mechanisms capable of monitoring the information flow present on theWeb. Up to today, there are no such mechanisms that allow for monitoring events and performing modifications of hybrid knowledge bases autonomously. The goal of this thesis is then to create a system that combine these hybrid knowledge bases with reactive rules, aiming to monitor events and perform actions over a knowledge base. To achieve this goal, a reactive system for the SemanticWeb is be developed in a logic-programming based approach accompanied with a language for heterogeneous rule base evolution having as its basis RIF Production Rule Dialect, which is a standard for exchanging rules over theWeb.
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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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The use of the Internet now has a specific purpose: to find information. Unfortunately, the amount of data available on the Internet is growing exponentially, creating what can be considered a nearly infinite and ever-evolving network with no discernable structure. This rapid growth has raised the question of how to find the most relevant information. Many different techniques have been introduced to address the information overload, including search engines, Semantic Web, and recommender systems, among others. Recommender systems are computer-based techniques that are used to reduce information overload and recommend products likely to interest a user when given some information about the user's profile. This technique is mainly used in e-Commerce to suggest items that fit a customer's purchasing tendencies. The use of recommender systems for e-Government is a research topic that is intended to improve the interaction among public administrations, citizens, and the private sector through reducing information overload on e-Government services. More specifically, e-Democracy aims to increase citizens' participation in democratic processes through the use of information and communication technologies. In this chapter, an architecture of a recommender system that uses fuzzy clustering methods for e-Elections is introduced. In addition, a comparison with the smartvote system, a Web-based Voting Assistance Application (VAA) used to aid voters in finding the party or candidate that is most in line with their preferences, is presented.