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Integration of Heterogeneous Data Sources in an Ontological Knowledge Base

In: Computing and Informatics, vol. 31, no. 1
Antoni Myłka - Alina Myłka - B. Kryza - J. Kitowski
Detaily:
Rok, strany: 2012, 189 - 223
Kľúčové slová:
Data management, data integration, semantics, ontologies, conversion, RDF, integrity constraints, semantic optimization, SPARQL
O článku:
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.
Ako citovať:
ISO 690:
Myłka, A., Myłka, A., Kryza, B., Kitowski, J. 2012. Integration of Heterogeneous Data Sources in an Ontological Knowledge Base. In Computing and Informatics, vol. 31, no.1, pp. 189-223. 1335-9150.

APA:
Myłka, A., Myłka, A., Kryza, B., Kitowski, J. (2012). Integration of Heterogeneous Data Sources in an Ontological Knowledge Base. Computing and Informatics, 31(1), 189-223. 1335-9150.