Computer Science ›› 2010, Vol. 37 ›› Issue (3): 149-151164.
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ZHANG Guo-qiang,JIA Su-ling,WANG Qiang
Online:
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Abstract: For converse the massive relational data to knowledge, the paper studied how to extract relational data to construct a OWI_ DI. 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 realizalion of knowledge management.
Key words: Ontology,OWL DL,Relational data,Knowledge extraction
ZHANG Guo-qiang,JIA Su-ling,WANG Qiang. Ontology-based Knowledge Extraction of Relational Data[J].Computer Science, 2010, 37(3): 149-151164.
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