Single operation multiple data - paralelismo de dados ao nível da sub-rotina

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Data queries over heterogeneous sources

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

FEW phone file system

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems

Dissertation presented to obtain the Ph.D degree in Bioinformatics

Estimating data divergence in cloud computing storage systems

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Extensible metadata repository for information systems

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

Modelling of the kinetics of municipal solid waste composting in full-scale mechanical-biological treatment plants

A thesis submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy in Sanitary Engineering in the Faculty of Sciences and Technology of the New University of Lisbon

ZoomAzores project: implementation of a WebGIS for Nature and Adventure Tourism.

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

Do social factors matter for innovation, and do they influence innovation in Aeronautics Industry?

Based on the report for the course on “Social Factors of Innovation” of the PhD Program on Technology Assessment, supervised by Prof. António Brandão Moniz, Monte de Caparica, University NOVA Lisbon, Faculty of Sciences and Technology, July 2013

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Vyndaqel (Tafamidis)

The main objective of this pedagogical case study is to analyse the market entry dynamics of pharmaceutical innovative drugs in Portugal, and the role and impact of the different stakeholders in this process. The case focuses on the market entry of Vyndaqel (Tafamidis) Pfizer’s orphan innovative product to treat TTR-FAP, “paramiloidose”, a highly incapacitating rare disease that has more than 2.000 diagnosed patients in Portugal, one of the highest prevalence worldwide and an incidence of 100 new patients every year. In terms of methodology it were used two main sources of information. Regarding secondary data sources it was made an exhaustive search using the main specialty search engines regarding the Tafamidis case, market access, orphan drugs and market entry context in Portugal and Europe. In terms of primary data it were conducted 7 direct interviews with the main case stakeholders. The pedagogical case study focuses on 5 main questions that provide the base of the discussion for the classes. First it is analysed the rationale behind the introduction of Tafamidis in Portugal, and its relevance for Pfizer, namely due to the previous investment made with the acquisition of FoldRX by $400M, the company that developed the product in the first place. It is also analysed the point of view of the NHS, and the reasoning behind drug reimbursement that considered not only the technical (efficacy and safety) and financial benefits of the drug, but also the social impact, due to the major role played by patient associations’ actions and coverage provided by the media that impacted the reimbursement decision. Finally it is analysed the vertical financing methodology that was selected by the Ministry of Health for drug acquisition by 2 public hospitals, that served as reference centres for the treatment of this disease

Geospatial data harmonization from regional level to european level: a usa case in forest fire data

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