Data Extraction, Transformation and Integration Guided by an Ontology

Chantal Reynaud 1, 2 Nathalie Pernelle 1, 2 Marie-Christine Rousset 3 Brigitte Safar 1, 2 Fatiha Saïs 1, 2
1 LRI - Laboratoire de Recherche en Informatique
2 GEMO - Integration of data and knowledge distributed over the web
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 LIG - Laboratoire d'Informatique de Grenoble
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 according 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.
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Chantal Reynaud, Nathalie Pernelle, Marie-Christine Rousset, Brigitte Safar, Fatiha Saïs. Data Extraction, Transformation and Integration Guided by an Ontology. Ladjel Bellatreche. Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction, Advances in Data Warehousing and Mining Book Series, IGI Global, 2009. ⟨inria-00432585⟩

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