Data management in home scenarios using an autonomic ontology-based approach

Abstract

An ontology-based approach to deal with data and management procedure integration in home-based scenarios is presented in this paper. The proposed ontology not only provides a means to represent exchanged data but also to unify the way of accessing, controlling, evaluating and transferring information remotely. The structure of this ontology has been inspired by the autonomic computing paradigm, thus it describes the tasks that comprise the MAPE (Monitor, Analyze, Plan and Execute) process. Furthermore the use of SPARQL (Simple Protocol and RDF Query Language) is proposed in this paper to express conditions and rules that determine the performance of these tasks according to each situation. Finally two practical application cases of the proposed ontology-based approach are presented.