期刊名称:International Journal of Web & Semantic Technology
印刷版ISSN:0976-2280
电子版ISSN:0975-9026
出版年度:2016
卷号:7
期号:3/4
页码:21
DOI:10.5121/ijwest.2016.7403
出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:Constructing ontologies from relational databases is an active research topic in the Semantic Web domain.While conceptual mapping rules/principles of relational databases and ontology structures are beingproposed, several software modules or plug-ins are being developed to enable the automatic conversion ofrelational databases into ontologies. However, the correlation between the resulting ontologies builtautomatically with plug-ins from relational databases and the database-toontology mapping principles hasbeen given little attention. This study reviews and applies two Protégé plug-ins, namely, DataMaster andOntoBase to automatically construct ontologies from a relational database. The resulting ontologies arefurther analysed to match their structures against the database-to-ontology mapping principles. Acomparative analysis of the matching results reveals that OntoBase outperforms DataMaster in applyingthe database-to-ontology mapping principles for automatically converting relational databases intoontologies