Science and Technology Production
Book Chapter
Authorship
RODA, FERNANDO
;
Estanislao Musulin
Date
2014
Publishing House and Editing Place
Elsevier
Book
Computer Aided Chemical Engineering
(pp. 1891-1896)
Elsevier
Elsevier
ISBN
978-0-444-63456-6
Summary
Information provided by the agent in
SIGEVA
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.
Key Words
Temporal reasoningQualitative reasoningIntelligent Data Analysis