A Arquitetura Orientada a Serviço SOA (Service Oriented Architecture) firmou-se como paradigma de desenvolvimento de sistemas de tecnologia da informação e comunicação TIC, pelas suas características que proporcionam flexibilidade, agilidade, reuso e escalabilidade. Porém, para que uma aplicação SOA seja bem-sucedida é imperativo que seja embasada por uma governança eficaz. Como desenvolver e manter esta governança atualizada em um ambiente com rápidas e imprevisíveis mudanças é um grande desafio. Este trabalho tem como objetivo apresentar uma metodologia para que uma organização com infra-estrutura modesta de TI possa manter esta governança SOA (governança de sistemas baseados na Arquitetura Orientada a Serviço), utilizando as capacidades dinâmicas constituídas por habilidades e rotinas peculiares da organização. A contribuição do trabalho reside na ligação, praticamente inexistente, das linhas de pesquisa de governança SOA e de capacidades dinâmicas. Para isto, o trabalho identifica o que precisa ser feito (framework), quem são os responsáveis pelo desenvolvimento e manutenção (atores) e como atuar na governança SOA (plataforma). O desenvolvimento foi embasado por uma extensa pesquisa dos conceitos envolvidos, seguido pela inferência das capacidades dinâmicas necessárias para a governança SOA e, finalmente, a implementação de uma plataforma que permite ao analista de processos mudar a governança SOA de forma interativa. O trabalho teve como resultados a elaboração de uma metodologia e um sistema de manutenção da governança operacional de sistemas baseados em SOA. A metodologia compreende os requisitos e a forma de análise das mudanças dos elementos que compõem a governança SOA. O sistema é constituído por um framework e uma plataforma de implantação ágil e eficaz, para aplicar capacidades dinâmicas na governança SOA. / SOA Service Oriented Architecture has been established as the paradigm for IT Information Technology systems development, due to its features that promotes flexibility, agility, reuse and scalability. However, an SOA application to be successful must be supported by effective governance. How to develop and maintain this governance up to date in a fast and unpredictable environment is a great challenge. This work aims to present a methodology that allows a modest IT infrastructure to be able to cope with SOA governance, using dynamic capabilities (particular abilities and routines of an organization). The contribution of this work is the link (practically inexistent) between lines of research in SOA governance and dynamic capabilities. To accomplish this purpose, this work sought to what must be done (framework), who is the responsible for the development and maintenance (owner), and how to perform the SOA governance (platform). The development has been founded by an extensive research of involved concepts, inference of required dynamic capabilities to maintain the SOA governance and the development of a platform that allows a process analyst to change SOA governance interactively. The results were a methodology and a maintenance system of SOA operational governance. The methodology comprises the requirements and changes in the analysis procedure of the elements of the SOA governance. The system is composed of an agile and effective implementation framework and platform that enable how to apply dynamic capabilities into the SOA governance. The Introduction presents examples of practical application (motivation), the goal, the justification, and the scope. Chapter 2 presents an extensive literature review about SOA, SOA governance, and dynamic capabilities, from both academic and commercial literature. Chapter 3 presents the methodology and a brief history of the development. Chapter 4 presents the development of the proposed system. Chapter 5 discusses some topics related to the proposition. Chapter 6 presents the conclusion and proposals for future developments.

Thesis (M.A.)--Edith Cowan University, 2008. / Submitted to the Faculty of Education and Arts. Includes bibliographical references.

Le travail présenté dans ce manuscrit a montré l’importance du développement méthodologique et technique pour identifier et débloquer les verrous empêchant l’analyse de matériaux hybrides et complexes qui se dégradent sous irradiation par un faisceau d’électrons. Nous avons mis en évidence que des dégâts sur l’échantillon produits par les électrons n’apparaissent qu’au-dessus d'un certain seuil de densité de courant électronique qui dépend de la nature du matériau et de ses caractéristiques morphologiques et structurales. Ces développements couplés à la Cryo-EM, nous ont permis de mettre en évidence l’architecture des matériaux hybrides à base de carbone, la variation de la distance lamellaire dans une pérovskite en fonction de la molécule insérée et le positionnement du métal, d’identifier les interactions à l’interface entre deux cristaux moléculaires et la quantification 3D de la fonctionnalisation d’un MOF. Dans la dernière partie, nous avons mis en évidence les processus de nucléation et de croissance d’oxyde de fer par MET in-situ en phase liquide. / The present manuscript shows the importance of methodological and technical development to identify and to unblock locks preventing the analysis of hybrid and complex materials that undergo degradation under electron beam irradiation. We have shown that beam-induced damage to the sample only appears above some specific threshold of current density. Such a threshold depends on the nature of the material and on its morphological and structural characteristics. These developments in synergy with the use of Cryo-EM, allowed us to expose the architecture of carbon-based hybrid materials, measure the variation of the lamellar distance in a perovskite according to the molecular spacer and to the positioning of the metal, identify the interactions at the interface between two molecular crystals, and the 3D quantification of the functionalization within a MOF. Lastly, we brought to light the processes of nucleation and growth of iron oxide by in-situ liquid phase TEM.

User Modeling and Machine Learning for User Modeling have both become important research topics and key techniques in recent adaptive systems. One of the most intriguing problems in the `information age´ is how to filter relevant information from the huge amount of available data. This problem is tackled by using models of the user´s interest in order to increase precision and discriminate interesting information from un-interesting data. However, any user modeling approach suffers from several major drawbacks: User models built by the system need to be inspectable and understandable by the user himself. Secondly, users in general are not willing to give feedback concerning user satisfaction by the delivered results. Without any evidence for the user´s interest, it is hard to induce a hypothetical user model at all. Finally, most current systems do not draw a line of distinction between domain knowledge and user model which makes the adequacy of a user model hard to determine. This thesis presents the novel approach of conceptual user models. Conceptual user models are easy to inspect and understand and allow for the system to explain its actions to the user. It is shown, that ILP can be applied for the task of inducing user models from feedback, and a method for using mutual feedback for sample enlargement is introduced. Results are evaluated independently of domain knowledge within a clear machine learning problem definition. The whole concept presented is realized in a meta web search engine called OySTER.