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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases
verfasst von : Farid Cerbah
Erschienen in: Advances in Knowledge Discovery and Management
Verlag: Springer Berlin Heidelberg
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Relational databases are valuable sources for ontology learning. Previous work showed how precise ontologies can be learned and be fruitfully exploited to solve practical problems, such as ensuring integration and interoperation of heterogeneous databases. However, a major persisting limitation of the existing approaches is the derivation of ontologies with flat structure that simply mirror the schema of the source databases. In this paper, we present the RTAXON learning method that shows how the content of the databases can be exploited to identify categorization patterns from which class hierarchies can be generated. This fully formalized method combines a classical database schema analysis with hierarchy mining in the stored data. RTAXON is one of the methods implemented in RDBToOnto, a comprehensive tool that support the transitioning process from access to the data to generation of populated ontologies.