Ontology-Based Integration of Heterogeneous, Incomplete and Imprecise Data Dedicated to a Decision Support System for Food Safety - Data Warehousing Design and Advanced Engineering Applications - page 82

Chapter 5
Ontology-Based Integration
of Heterogeneous, Incomplete
and Imprecise Data Dedicated
to a Decision Support
System for Food Safety
Patrice Buche
INRA, France
Sandrine Contenot
INRA, France
Lydie Soler
INRA, France
Juliette Dibie-Barthélemy
AgroParisTech, France
David Doussot
AgroParisTech, France
Gaelle Hignette
AgroParisTech, France
Liliana Ibanescu
AgroParisTech, France
ABSTRACT
This chapter presents an application in the field of food safety using an ontology-based data integration
approach. An ontology is a vocabulary used to express the knowledge in a given domain of application.
In this chapter, the ontology-based data integration approach permits to homogenize data sources which
are heterogeneous in terms of structure and vocabulary. This approach is done in the framework of the