CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
An Ontology-based Framework to Support Multivariate Qualitative Data Analysis
Autor/es:
FERNANDO RODA; ESTANISLAO MUSULIN
Lugar:
Budapest
Reunión:
Simposio; 24th European Symposium on Computer Aided Process Engineering (ESCAPE); 2014
Institución organizadora:
Hungarian Chemical Society - EFCE
Resumen:
stract In this work, an ontology-based Intelligent Data Analyses (IDA) framework is presented. The proposed approach facilitates a complete quantitative-qualitative data analyses, ranging from simple outliers detection to the identification of qualitative multivariate temporal patterns. A novel ontology has been developed to represent Temporal Abstractions. Two major elements have been considered: a consistent modelling of time series and a proper scheme to operate over temporal relations.
