Using shape expressions (ShEx) to share rdf data models and to guide curation with rigorous validation

International Conference, European Semantic Web Conference, ESWC (16th. 2019. Portorož, Slovenia

Framework para Gestão de Dispositivos Móveis: módulo inventário

Dissertação de Mestrado em Engenharia InformáticaO número e diversidade de dispositivos móveis utilizados em contexto pessoal e contexto empresarial é um fenómeno em franco crescimento. Este fenómeno conhecido como Bring Your Own Device (BYOD) é um dos desafios que as empresas têm de enfrentar. Se por um lado o BYOD promove a satisfação pessoal e a produtividade, por outro, a gestão de dispositivos móveis e a segurança dos dados tornam-se mais complexas. Existem várias soluções no mercado, apontadas como partes vitais da infraestrutura empresarial, no processo de gestão de dispositivos móveis (Mobile Device Management – MDM). Uma vez que tendem a agregar inúmeras funcionalidades, são conhecidos alguns problemas associados a estas soluções, como por exemplo a invasão da privacidade nos dispositivos pessoais e a possibilidade de disrupção com outras soluções em uso nas empresas, para além de outros. Para evitar esta situação propomos a criação de uma framework modular para a gestão de dispositivos móveis, com uma abordagem focada na segurança dos dados organizacionais e na separação do contexto user vs enterprise. A framework será baseada em Web Services, e o objetivo é o de permitir que uma empresa adote ou integre apenas os serviços necessários, reduzindo o número de aplicações em uso e o custo de propriedade. O primeiro módulo a implementar é o de inventariação de dispositivos móveis.The number of personal mobile devices used inside company’s network continues to grow. This phenomenon known as Bring Your Own Device (BYOD) is one of the challenges the companies have to face sooner or later. In one hand, BYOD improve staff satisfaction and productivity, in the other, the mobile devices management and data security get more complex. There are several solutions in the market pointed as vital part of enterprises infrastructure for mobile devices management (MDM), however, some issues arise with these solutions. Privacy invasion in personal devices, and disruption with legacy systems due to several functionalities aggregation is some of them. To avoid this problem, we propose a modular framework for mobile devices management, with an approach focused in organizations data security and users versus enterprises context separation. This will be a Web Service based framework, and the goal is to allow that companies can use or adopt only the necessary services, cutting unnecessary applications and reducing costs of ownership. The first module to develop is an inventory system for mobile devices

Identifying Relevant Evidence for Systematic Reviews and Review Updates

Systematic reviews identify, assess and synthesise the evidence available to answer complex research questions. They are essential in healthcare, where the volume of evidence in scientific research publications is vast and cannot feasibly be identified or analysed by individual clinicians or decision makers. However, the process of creating a systematic review is time consuming and expensive. The pace of scientific publication in medicine and related fields also means that evidence bases are continually changing and review conclusions can quickly become out of date. Therefore, developing methods to support the creating and updating of reviews is essential to reduce the workload required and thereby ensure that reviews remain up to date. This research aims to support systematic reviews, thus improving healthcare through natural language processing and information retrieval techniques. More specifically, this thesis aims to support the process of identifying relevant evidence for systematic reviews and review updates to reduce the workload required from researchers. This research proposes methods to improve studies ranking for systematic reviews. In addition, this thesis describes a dataset of systematic review updates in the field of medicine created using 25 Cochrane reviews. Moreover, this thesis develops an algorithm to automatically refine the Boolean query to improve the identification of relevant studies for review updates. The research demonstrates that automating the process of identifying relevant evidence can reduce the workload of conducting and updating systematic reviews