# SCoPE: Service Composition and Personalization Environment
## 1 Introduction  
The increasing demographic shift related to elderly population represents a striking fact in the recent history of humanity. The senior population above 80 years old is expected to increase by 205% in 2050 when compared to 2017 [1]. At the same time, elderly are supposed to exceed teenagers in various world regions [2], which highlights the relevance of research on the aging process in our societies [1, 3].  
With aging, when the objective is to keep seniors healthy and enjoying a high quality of life, specific care needs appear. Each individual elderly person may require particular services (e.g., care and assistance) according to his/her life context. In fact, characterizing a person as elderly involves more than age as a determinant factor. Singular elements of the aging process, such as life settings, individual capacities, and abilities, contribute to characterize an elderly person. As a result, a specific care service might be sufficient for an individual and very futile for another. This brings up the necessity of personalized and composite services in this sector.  
The notion of personalized service typically involves a composition of various basic services, possibly offered by different providers, which together fit the needs of each individual [4; 5; 6; 7]. Therefore, customizing a (composite) service includes an understanding amongst customer and suppliers (and all other involved stakeholders) through which they share data to allow an adequate adaptation of the service offer [8; 9; 10].  
The idea of a collaborative business environment for elderly care can help on the integration of various services from different service providers [11; 12; 13]. Likewise, finding the set of services and corresponding service providers that best cover the senior's life style, needs, and desires is a challenge. Although related approaches can be found in the literature, there is a lack of a comprehensive framework that manages the process of service composition and evolution for elderly care in a collaborative environment.  
The Collaborative Networks discipline [14] provides a base to help addressing these challenges and design the conceptual model of an Elderly Care Ecosystem (ECE) ([PERSON] et al., 2017a). In this context, this work focuses on a method for service personalization and composition with the aim to better attend the customer's care needs. To facilitate the process of finding the best {service, provider} pairs in the context of ECE, an environment called Service Composition and Personalization Environment (SCoPE) is designed to personalize and compose services based on service filtering, service adherence calculation, and service composition strategies.  
The remainder of this article is organized as follows: the research methodology is presented in Section 2. The trends and requirements in personalized care ecosystems are briefly summarized in Section 3. Section 4 presents the ECE conceptual model and its components. The customer profile identification in the context of a collaborative network environment is described in Section 5. Section 6 introduces the main algorithms of SCoPE, highlighting their key steps: scope filtering, service adherence calculation, and service rating and composition. A practical application case is discussed through Sections 5 and 6. Finally, conclusions and directions for future work are presented in Section 7.