Uma solução para qualidade de contexto baseada em ontologia e lógica nebulosa com aplicação em monitoramento de sinais vitais em UTI
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2016-05-03
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Universidade Federal de Goiás
Resumo
More than a decade after the first training paradigm Computer Context Sensitive, the
term Quality of Context (QoC) emerged in a setting filled with services that provide userapplication
interactions seamlessly, highlighting the need for managers of information
context. These infrastructures that handle context information, CMS (Context Management
System), are full of inputs and outputs relevant data or not. The relevance of information
is studied by many lines of sensitive computing the context, including QoC.
Although there are a large number of QoC metrics, the literature still lacks general values
to characterize the relevance of context information, ie from metrics produce an overall
value that represents the importance of information. The objective of this work is to propose,
from fuzzy logic, a combination of metrics in order to produce a QoC value for
each information received, and possible disposal, if this information does not meet the
expected relevance, described in this work by policies of QoC. In order to disseminate the
context of consumers that information produced, this research proposes also, from an ontology
domain independent QoC, annotate semantically the data that refer to the quality
of information, thus avoiding the need for new measures in a short-term time. Finally, this
paper presents the application of the solutions found in a case study of monitoring vital
signs of patients in ICU.
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SENA, M. V. O. Uma solução para qualidade de contexto baseada em ontologia e lógica nebulosa com aplicação em monitoramento de sinais vitais em UTI. 2016. 80 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2016.