A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Different Firms, Different Ontologies, and No One Best Ontology
IEEE Intelligent Systems
A Reverse Engineering Approach for Migrating Data-intensive Web Sites to the Semantic Web
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Semantic-integration research in the database community
AI Magazine - Special issue on semantic integration
Towards an Ontology of Factors Influencing Reverse Engineering
STEP '05 Proceedings of the 13th IEEE International Workshop on Software Technology and Engineering Practice
Semantic deep web: automatic attribute extraction from the deep web data sources
Proceedings of the 2007 ACM symposium on Applied computing
Automatic Extraction of Ontologies Wrapping Relational Data Sources
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Review: survey of directly mapping sql databases to the semantic web
The Knowledge Engineering Review
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Recently, many researchers are trying to automate the automatic production of ontologies, realizing extraction of the information contained in databases using reverse engineering, however, because of the continuous evolution of standards in relational databases, not all the characteristics presented by modern databases managers are still supported. Besides as databases can be implemented in several ways in relational databases using different commands, this frequently causes differences when creating ontologies. In this paper, is presented how this approach can be applied to an epidemiological database and the advantages of use, when realizing query exploitation.