Ontology-Based Knowledge Extraction for Relational Database Schema
Guo‐Qiang Zhang, Suling Jia · 2009
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.