ASeCS: Assistive Self-Care Software Architectures for Delivering Service in Care Homes

We propose a layered and component based software architecture, which generates semantic software applications, for the purpose of delivering personalized services for residents in Self-Care Homes (SeCH). The architectural core layers accommodate software components which grasp and understand the semantic of various situations we may encounter in SeCH, through a variety of cyber-physical objects which co-exist in pervasive environments used in monitoring SeCH residents. The decision making on appropriate actions in SeCH is based on reasoning created by SWRL enabled OWL ontologies to ensure that in any situation, residents are delivered suitable and personalized healthcare services. The ASeCS architecture has been deployed through component based Java technologies, and uses OWL-API in order to seamlessly incorporate reasoning into software applications. ASeCS is SeCH specific, but provides a window of opportunities for creating modern and flexible software solutions for pervasive healthcare, where decision making solely depends on OWL/SWRL enabled computations.