Ontology-based knowledge extraction for relational database schema

被引：0

作者：

Zhang, Guoqiang ^{[1
]}

Jia, Suling ^{[1
]}

机构：

[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY, VOL I | 2009年

关键词：

ontology; E-R Schema; OWL DL; Schema Translation; CONSTRUCTION;

D O I：

10.1109/ISECS.2009.104

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：585 / 589

页数：5

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