A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
Bringing Relational Data into the SemanticWeb using SPARQL and Relational.OWL
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
SPARQL query processing with conventional relational database systems
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
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DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Automatic Extraction of Ontologies Wrapping Relational Data Sources
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Editorial: BioDB: An ontology-enhanced information system for heterogeneous biological information
Data & Knowledge Engineering
Bringing relational databases into the Semantic Web: A survey
Semantic Web - On real-time and ubiquitous social semantics
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One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we present an approach to map legacy data stored in relational databases into the Semantic Web using virtually any modern RDF query language, as long as it is closed within RDF. Consequently, a Semantic Web developer does not need to learn and adopt a new mapping language, but he may perform the mapping task using his preferred RDF query language.