## 5 Application Scenarios  
According to the World Health Organization (WHO), overweight and obesity are serious public health challenges, and their prevalence is growing worldwide even in countries with low or middle income [44]. Mexico ranks second worldwide for prevalence of obesity, after the United States of America [45]. Overweight and obesity represent a public health problem identified as a priority for many countries, because of the economic and social costs involved. They are important risk factors for developing chronic diseases, including cardiovascular, diabetes and cancer. Other solutions have been proposed for these mayor related health problems like diabetes [46]. The World Health Organization defines overweight and obesity as an abnormal or excessive fat accumulation that presents health risks. If a person consumes more calories than he expends, he will gain weight, resulting in overweight and obesity. This is due to unbalanced diets and low physical activity. In order to quantify overweight, anthropometric indicators are used that consider weight and height. The main indicator is the body mass index (BMI) which is the ratio between the weight and the square of the height of a person. In the case of obesity, waist circumference is also used as an indicator. An adult with a BMI of 30 or more is considered obese. An adult with a BMI greater than or equal to 25 is considered overweight [47]. A major challenge for creating personalized health applications is to capture the information needed for personalization in a user-friendly way, and avoid having to repeat this task for each application. We considered an application scenario of sharing and reusing data of heterogeneous profile suppliers to enhance our ubiquitous user model and determine parameters of Web Services in order to deal with overweight and obesity. Our adaptive system will recollect the essential profile data to watch and control overweight and obesity from different profile suppliers interpret the information and store new data in the ubiquitous user model. From social networks and FOAF, the system can obtain explicit information provided by the user like basic profile demographic data, food preferences and sport interest. There are specialized health sites and web applications to monitor a person's diet and physical activity keeping a record of daily observations of the person's meals and activity are needed, with the purpose of calculating the daily calorie balance between caloric intake and calories burned during exercise. These observations can be explicitly captured by the user in mobile devices, in web sites or even downloaded from accelerometers, pedometers and commercial sensors that track time, distance, pace and even calories burned during an exercise session. Other important medical and health profile suppliers can be the Personal Health Record that contains vital information about medical and physical condition. All these data can be obtained in XML format or transformed to it. Once the information is stored in the ubiquitous user model, it can be used to enhance information of the suppliers and as parameters in Web services. For the task of monitoring the training activity there are a variety of personal gadgets with advanced sensors, coupled with specialized Web and social network applications. Other applications help monitoring the daily consumption of calories and provide means to build and follow a personalized diet plan. Application scenario using the ubiquitous user model for dealing with overweight and obesity, exemplifies profile information suppliers providing static, semi-static and dynamic information about the user. The demonstration in Section 6 shows how two important processes for the construction and manipulation of the flexible ubiquitous user model can be used to solve the interoperability between applications explained in the previous example. The first process is defining one-to-one semantic mapping between the concepts from a new source and existing concepts in the ubiquitous user modeling structure.