Title :
Ontology-Based Knowledge Extraction for Relational Database Schema
Author :
Zhang, Guoqiang ; Jia, Suling
Author_Institution :
Sch. of Econ. & Manage., Beihang Univ., Beijing, China
Abstract :
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.
Keywords :
knowledge acquisition; knowledge representation languages; ontologies (artificial intelligence); relational databases; DL-based formalization; E-R model; OWL DL ontology; knowledge extraction; relational database; Algorithm design and analysis; Data mining; Humans; Knowledge management; Logic; OWL; Ontologies; Relational databases; Resource description framework; Semantic Web; E-R Schema; OWL DL; Schema Translation; ontology;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.104
