A Solution to Discard Context Information using Metrics, Ontology and Fuzzy Logic

• Márcio Vinícius Oliveira Sena UFG
• Renato de Freitas Bulcão Bulcão-Neto UFG

Abstract

Quality of context (QoC) is any information that describes the quality of the context information itself. The qualification process evaluates if the level of QoC computed meets context consumers’ expectations in face of ambiguities, imprecisions or errors in a particular context information. A context management system should deal with those imperfections on a broad sense, including QoC representation, quantification, qualification and dissemination. This paper presents our Hermes Quality (HQ) approach, which combines an ontology, QoC metrics and fuzzy logic-based QoC policies. Experienced nursing professionals helped evaluate the HQ capability to accept and discard irrelevant vital signs of ICU patients. Results show that HQ properly qualifies vital sign measurements in conformance with fuzzy rules representing Nursing knowledge

Keywords: Quality of context, metric, ontology, fuzzy logic; vital sign