Integration of Heterogeneous Data Sources in an Ontological Knowledge Base

Authors

  • 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

Keywords:

Data management, data integration, semantics, ontologies, conversion, RDF, integrity constraints, semantic optimization, SPARQL

Abstract

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.

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How to Cite

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. Retrieved from http://www.cai.sk/ojs/index.php/cai/article/view/2089

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