| dc.description.abstract | In recent decades in the area of computing the main phenomenon to be highlighted is the diffusion of mobile devices and advances in ubiquitous computing, which proposes a scenario where the different types of computer services are available to users anytime and anywhere. These services should also interact ubiquitously, invisible and proactive in daily life. Based on this, several applications have emerged applied in different areas such as education, health, transportation, accessibility. These can be seen that the formation and management groups is a common challenge and has great importance as can be seen by recent efforts and relevant research on the subject. In these studies we have pointed out that it is important to consider the context of aspects of the entities but also the determined entity context history. In this scenario, this dissertation proposes the eGroup, a model for managing dynamic groups of bodies which aims to assist ubiquitous applications that aim group and manage entities taking into account characteristics of the entities profiles, the context in which they operate, as well as historical thereof. The strategy adopted in this study differs from related work by not working with a particular domain, consider all aspects of the context and the context of history, generating dynamically a profile and group track. The results obtained through a validation scenarios, it was possible to verify the viability of the model, and to propose a solution to the problem of research. | |
