Computationally Significant Semantics in Pervasive Healthcare

  • Authors:

  • Reza Shojanoori;Radmila Juric;Mahi Lohi

  • Affiliations:

  • Department of Business Information Systems, School of Electronics and Computer Science, University of Westminster, London, UK;Department of Business Information Systems, School of Electronics and Computer Science, University of Westminster, London, UK;Department of Electronic, Network & Computer Engineering, School of Electronics and Computer Science, University of Westminster, London, UK

  • Venue:
  • Journal of Integrated Design & Process Science
  • Year:
  • 2012

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Abstract

Pervasive computing PerC is leading the way in a fast-growing trend of integrating transparently physical heterogeneous computational devices into our private and professional lives. The ubiquity of these devices and advances in developing software solutions in PerC across domains, have raised hopes for the creation of true wide-spread pervasive computing environments PCE. In this paper we explore the possibility of applying semantics of PCEs in the healthcare domain, and in Self Care Homes SeCH in particular, in order to define and comment on its computationally significant semantics. Our aim is to illustrate that we can manipulate the computationally significant semantics of SeCH through OWL/SWRL enabled ontologies, as candidate technologies for achieving effective and automated decision making in SeCH. The possibility of reasoning upon OWL/SWRL enabled concepts and creating computations from them, and enables the delivery of healthcare services to SeCH residents. They are automatically supported by software applications generated from the Assistive Self Care Systems ASeCS software architecture, which hosts our OWL/SWRL enabled ontology and its reasoning.