Abstract
Alzheimer's disease (AD) is the most common form of dementia diagnosed in people over 65 years of age. There is no cure for the disease, which worsens as it progresses, and eventually leads to death. As the disease advances, symptoms can include confusion, irritability and aggression, mood swings, trouble with language, and long-term memory loss. As the sufferer declines they often withdraw from family and society. Gradually, body functions are lost, ultimately leading to death. Current treatments only help with the symptoms of the disease. Following the vision of WHO and AD International for innovative approaches to AD, the system proposed here, namely Symbiosis, aims at creating a novel human-computer interaction (HCI) environment to facilitate, understand and incorporate the needs of the whole AD community (patients, caregivers and doctors). © 2013 Springer-Verlag Berlin Heidelberg.

Abstract
People in modern societies have increasingly sedentary lifestyles. They usually do not have time to take part in physical activity on a regular basis. Additionally, due to time constraints, people are consuming more processed and junk foods. This behavior may lead to health issues, such as obesity or cardiovascular disease. On the other hand people are becoming more aware and more interested in doing physical activities, which has resulted in an increase of memberships at gymnasiums. People usually obtain better results in training by having a personal trainer, especially in the beginning, because personal trainers can recommend safer and more effective exercises, as well as provide motivation. Moreover, personal trainers can also play the roles of life coaches or nutritionists. Despite the benefits, having a personal trainer can be difficult. Due to time constraints, it might not be simple to combine both schedules of the personal trainer and the client. In this paper we present a novel health training platform to maximize the personal trainer and client relationship and, therefore, increase the client's well-being. The health training platform allows clients to have sensors connected to their smartphones and send their exercise data to their personal trainer. It also allows personal trainers to observe their clients' evolution and provide feedback. The health training platform has an architecture that allows multiple configurations involving personal trainers, clients and gymnasiums. We have built and tested a prototype of a health training platform.

Abstract
Dealing with increasing amounts of data creates the need to deal with redundant, inconsistent and/or complementary repositories which may be different in their data models and/or in their schema. Current data cleaning techniques developed to tackle data quality problems are just suitable for scenarios were all repositories share the same model and schema. Recently, an ontology-based methodology was proposed to overcome this limitation. In this paper, this methodology is briefly described and applied to a real scenario in the health domain with data quality problems. © 2016 ACM.

Abstract
The organizations' demand to integrate several heterogeneous data sources and an ever-increasing volume of data is revealing the presence of quality problems in data. Currently, most of the data cleaning approaches (for detection and correction of data quality problems) are tailored for data sources with the same schema and sharing the same data model (e.g., relational model). On the other hand, these approaches are highly dependent on a domain expert to specify the data cleaning operations. This paper extends a previously proposed data cleaning methodology that reuses cleaning knowledge specified for other data sources. The methodology is further detailed/refined by specifying the requirements that a data cleaning operations vocabulary must satisfy. Ontologies in RDF/OWL are proposed as the data model for an abstract representation of the data schemas, no matter which data model is used (e.g., relational; graph). Existing approaches, methods and techniques that support the implementation of the proposed methodology, in general, and specifically of the data cleaning operations vocabulary are also presented and discussed in this paper. Copyright

Abstract
Information Systems (IS) and Technologies assume a wide variety of roles within companies, ranging from operational to strategic support of the company. This fact puts pressure on managers, who are required to manage these investments properly. This chapter presents a study conducted with several Chief Information Officers from large Iberian companies with the purpose of identifying and characterizing the roles played by IS and the motivations currently behind their adoption. The findings of this study reveal the reasons why IS and technologies are being adopted by Iberian companies are evolving and that, while the adoption of certain types of systems such as Enterprise Resource Planning systems is now consolidated, the adoption of other systems like Business Intelligence is expected to increase significantly in the near future.

Abstract
Modelling dietary intake of older adults can prevent nutritional deficiencies and diet-related diseases, improving their quality of life. Towards such direction, a Fuzzy Cognitive Map (FCM)-based modelling approach that models the interdependencies between the factors that affect the Quality of Nutrition (QoN) is presented here. The proposed FCM-QoN model uses a FCM with seven input-one output concepts, i.e., five food groups of the UK Eatwell Plate, Water (H2O), and older adult's Emotional State (EmoS), outputting the QoN. The weights incorporated in the FCM structure were drawn from an experts' panel, via a Fuzzy Logic-based knowledge representation process. Using various levels of analysis (causalities, static/feedback cycles), the role of EmoS and H2O in the QoN was identified, along with the one of Fruits/Vegetables and Protein affecting the sustainability of effective food combinations. In general, the FCM-QoN approach has the potential to explore different dietary scenarios, helping health professionals to promote healthy ageing and providing prognostic simulations for diseases effect (such as Parkinson's) on dietary habits, as used in the H2020 i-Prognosis project (www.i-prognosis.eu).