An Ontology-based Framework to Support Multivariate Qualitative Data Analysis

FERNANDO RODA; ESTANISLAO MUSULIN

Computer Aided Chemical Engineering

Elsevier

Lugar: Oxford; Año: 2014; p. 1891 - 1896

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.