Database Reference
In-Depth Information
Chapter 2
Data Extraction, Transformation
and Integration Guided
by an Ontology
Chantal Reynaud
Université Paris-Sud, CNRS (LRI) & INRIA (Saclay - Île-de-France), France
Nathalie Pernelle
Université Paris-Sud, CNRS (LRI) & INRIA (Saclay - Île-de-France), France
Marie-Christine Rousset
LIG - Laboratoire d'Informatique de Grenoble, France
Brigitte Safar
Université Paris-Sud, CNRS (LRI) & INRIA (Saclay - Île-de-France), France
Fatiha Saïs
Université Paris-Sud, CNRS (LRI) & INRIA (Saclay - Île-de-France), France
ABSTRACT
This chapter deals with integration of XML heterogeneous information sources into a data warehouse
with data defined in terms of a global abstract schema or ontology. The authors present an approach
supporting the acquisition of data from a set of external sources available for an application of interest
including data extraction, data transformation and data integration or reconciliation. The integration
middleware that the authors propose extracts data from external XML sources which are relevant ac-
cording to an RDFS+ ontology, transforms returned XML data into RDF facts conformed to the ontology
and reconciles RDF data in order to resolve possible redundancies.
INTRODUCTION
Such an access can be provided by an ontology in
integrators supporting high-level queries and in-
formation interoperation. Our work takes place in
the context of a data warehouse with data defined
in terms of a global abstract schema or ontology.
A key factor for the success of the Semantic Web
is to provide a unified, comprehensive and high-
level access to voluminous and heterogeneous data.
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