Self-Evolved Ontology-Based Service Personalization Framework for Disabled Users in Smart Home Environment

Abstract

Providing context-aware personalized service in smart home environment is very important to improve the quality of the disabled life. To reaching the goal, it needs to challenge due to diversity of needs: type of disability, degree of disability, preferences, tasks, and context. We propose a framework to recommend context-aware personalized services for the disabled in smart home environment called SOLVE-D. Main module of SOLVE-D is ontology repository that is consisted of three ontologies: generic service ontology, personalized service ontology, and service context ontology. The ontologies interact with each other to recommend context-aware personalized services, and to increase the quality of personalized services for disabled person in smart home environment. In addition, to support self-evolved ontologies and to provide the optimal service, SOLVE-D has follow modules such as Standard Service Recommendation Module (SSRM), Personalized Service Recommendation Module (PSRM), Personalized Service Ontology Generation Module (PSOGM), and Context and PSO Mapping Module (CPMM). The proposed ontologies and various modules of SOLVE-D are in perfect harmony to provide context-aware personalized services for` disabled users.