Migrating data-intensive web sites into the Semantic Web
Proceedings of the 2002 ACM symposium on Applied computing
Extracting generalization hierarchies from relational databases: A reverse engineering approach
Data & Knowledge Engineering
Learning highly structured semantic repositories from relational databases: the RDBToOnto tool
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Ontology augmentation: combining semantic web and text resources
Proceedings of the sixth international conference on Knowledge capture
EGOVIS'11 Proceedings of the Second international conference on Electronic government and the information systems perspective
A methodology for standards-driven metamodel fusion
MEDI'11 Proceedings of the First international conference on Model and data engineering
Dynamic generation of concepts hierarchies for knowledge discovering in bio-medical linked data sets
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
On directly mapping relational databases to RDF and OWL
Proceedings of the 21st international conference on World Wide Web
Bringing relational databases into the Semantic Web: A survey
Semantic Web - On real-time and ubiquitous social semantics
| Hi-index | 0.00 |
Relational databases are valuable sources for ontology learning. Previous work showed how precise ontologies can be learned from such structured input. 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 schema analysis with hierarchy mining in the data. RTAXON is one of the methods implemented in the RDBToOnto tool.