Ontology-based Knowledge Extraction of Relational Data
Qiang Wang · 2010
For converse the massive relational data to knowledge,the paper studied how to extract relational data to construct a OWL DL ontology.Based on the formalization of relational data records and knowledge ontology,an algorithm was designed to realize the extraction and conversion.Some key issues such as the identity and relationship table were studied.Finally a case was designed to test and verify the algorithm.The proposed method can help ontology developers extract the relational data into knowledge more easily,and provide a rapid way to build ontology for the realization of knowledge management.