# SCoPE: Service Composition and Personalization Environment
## 5 ECE Environment
### Step: 3--Service Composition and Ranking
Our method is based on three main steps: (_a_) scope filtering--responsible for matching and excluding or accepting {service, provider} pairs based on care need taxonomy; (_b_) adherence calculation--resulting the first rating of {service, provider} pairs based on multidimensional matrix representing the adherence to each specific customer; and (_c_) service composition and solution ranking--using a number of strategies for service composition, resulting in a ranked list of potential solutions. In this context, SCoPE includes:

* A new service selection paradigm based on solution adherence to the customer needs and specificities, making possible to attend personal requirements through soft criteria. * Dynamic care needs taxonomy as part of the personalization process, representing a common language to identify services and needs. * Possibility of integration of services of diverse areas and types covering several care needs. * Adherence calculation respecting personal characteristics (e.g., cultural, technological, social, etc.) based on care needs and criteria relevance. * Service composition based on an _adherence_ coefficient, offering tailored services to each senior context and his/her life style, strengthening service personalization. Partial algorithms for SCoPE implementation are presented and the method was applied to an illustrative scenario in which an elderly person depends on composed care services to improve his quality of life. The illustrative scenario application shows the viability and facility of building models on top of the ECE framework and demonstrates the appropriateness of the modelling approaches in terms of fit-for-purpose and usefulness. As part of future work, we intend to monitor customer care needs and improve the method for service evolution proposed in our previous work [67] (continuous personalization) regarding the customer's evolution of needs under a collaborative care ecosystem environment [68]. Also, we intend to map the ECE concepts to ISO 13940--Health Informatics--System of Concepts to support Continuity of Care to provide methods of integrating the ECE with systems that provide support for this standard. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Method**} & \multirow{2}{*}{**Solutions**} & \multicolumn{2}{c}{_To Care Need_} & \multicolumn{2}{c}{_To Care Need_} & \multirow{2}{*}{_ad_} & \multirow{2}{*}{**Cost**} & \multirow{2}{*}{**Cost**} & \multirow{2}{*}{**Cost**} \\  & & \multicolumn{1}{c}{_Blood Pressure_} & & & & & \\ \hline Method\({}_{1}\) & _Solution 1_ & \(sp_{11}\) & \(sp_{22}\) & 0.906 & 140 & 0.647 \\ \hline Method\({}_{2}\) & _Solution 2_ & & \(sp_{64}\) & 0.715 & 75 & 0.953 \\ \hline Method\({}_{3}\) & _Solution 3_ & \(sp_{11}\) & \(sp_{21}\) & 0.755 & 130 & 0.581 \\ \hline Solution 4 & \(sp_{41}\) & & \(sp_{21}\) & 0.774 & 230 & 0.337 \\ \hline \hline \end{tabular}
\end{table} 
Table 13: Solution’s matrix for [PERSON] [PERSON] scenario. **Author Contributions:** Background analysis, T.A.B. and L.M.C.-M.; General conceptual model, T.A.B. and L.M.C.-M.; Methods & Algorithms, T.A.B. ; Text Revision, T.A.B. and L.M.C.-M.

**Funding:** This work has been partially funded by the Center of Technology and Systems (CTS) and the Portuguese FCT-PEST program UID/EEA/00066/2013 (Impactor project), and by CAPES (n. 9087-3) and Instituto Federal Farroupilha (Brazil). **Acknowledgments:** We also thank the comments and suggestions of [PERSON] and [PERSON]. **Conflicts of Interest:** The authors declare no conflict of interest. ## References

* World Population Data 2017 World Population Data 2017. Available online: [[http://www.worldpopdata.org/index.php/map](http://www.worldpopdata.org/index.php/map)]([http://www.worldpopdata.org/index.php/map](http://www.worldpopdata.org/index.php/map)) (accessed on 5 October 2017). * HelpAgeInternational (2015) HelpAgeInternational. Global AgeWatch Index.