In this paper we present X2R, a system for integrating heterogeneous data sources in an ontological knowledge base. The main goal of the system is to create a unified view of information stored in relational, XML and LDAP data sources within an organization, expressed in RDF using a common ontology and valid according to a prescribed set of integrity constraints. X2R supports a wide range of source schemas and target ontologies by allowing the user to define potentially complex transformations of data between the original data source and the unified knowledge base. A rich set of integrity constraint primitives has been provided to ensure the quality of the unified data set. They are also leveraged in a novel approach towards semantic optimization of SPARQL queries.
Publié le : 2012-06-20
Classification:  Data management, data integration, semantics, ontologies, conversion, RDF, integrity constraints, semantic optimization, SPARQL
@article{cai2089,
     author = {Antoni My\l ka; AGH University of Science and Technoloy, Cracow and Alina My\l ka; AGH University of Science and Technology, Cracow and Bartosz Kryza; AGH University of Science and Technology, Cracow and Jacek Kitowski; AGH University of Science and Technology, Cracow},
     title = {Integration of Heterogeneous Data Sources in an Ontological Knowledge Base},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai2089}
}
Antoni Myłka; AGH University of Science and Technoloy, Cracow; Alina Myłka; AGH University of Science and Technology, Cracow; Bartosz Kryza; AGH University of Science and Technology, Cracow; Jacek Kitowski; AGH University of Science and Technology, Cracow. Integration of Heterogeneous Data Sources in an Ontological Knowledge Base. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai2089/