Ontology-based knowledge eztraction for relational database schema
Translating large amounts of relational data into ontological knowledge can be a major challenge. Based on the DL-based formalization of E-R model and OWL DL ontology, this paper studies the method for translating E-R model to OWL DL-based ontology and constructs corresponding mapping relationship between them. A translation algorithm has been improved to realize the translation. Finally, a case is designed to verify the algorithm. Analysis indicates that the algorithm is accurate and effective; and it proposes a new method for construct ontology.
ontology E-R Schema OWL DL Schema Translation
Guoqiang Zhang Suling Jia
School of Economics and Management Beihang University Beijing 100191, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
585-589
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）