Algorithm of sound transformation from relational schema to ontology
Peng Jin-song, Dezhi Xu · Computer Engineering and Applications Journal · 2008
Ontology technology can achieve the capacity of interoperation and interchange at semantic level,so ontology learning from relational data model is becoming one of the most important issues in the construction of Semantic Web.We present an algorithm which stems from a method of translating a database model into a conceptual model through database inverse engineering.This algorithm for transformation from relational schema to ontology expressed by OWL DL,we prove to be sound.Furthermore,a prototype system to verify the result is developed.