Are The Integrations Between Ontologies and Databases Really Opening the Closed World in Ubiquitous Computing ?
Vinícius Maran, Iara Augustin, José Palazzo Moreira de Oliveira · 2014
Currently, ontologies are widely used in ubiquitous systems for the representation of context and situation information. In addition, task ontologies are used to describe processes and daily situations that may occur in certain domains. In this way, it is necessary that there are strategies of integration between ontologies and databases, because ubiquitous systems generate large amounts of context data. In addition, it is necessary that exist ways to query and infer information on these persisted ontologies. Through the description of a motivating scenario, based on ClinicSpace ubiquitous architecture, and the study of requirements identified on recently proposed architectures, it was possible to list a set of important features to use persistence tools in ubiquitous systems. This paper presents an analysis of recently proposed solutions for the use of ontologies as data model for context representation and situation inference in ubiquitous systems. Through this analysis was possible to list a set of requirements that the actual state of the art does not attend, such as the possibility of distributed inference about information in ontologies.