Designing E-R Model By Querying RDF(S) Resource

With the rapid development of Semantic technology,more and more semantic resources are published through the web.As an important form of ontology,Resource Description Framework and RDF Schema are used to record the documents and describe the resources in professional field.RDF processes a strong ability of semantic expressing,so sufficient exploring and utilizing about RDF will extend the fields of more research.Currently,Entity-Relationship model is one of the most primary means of the Database model.Obviously,the model sets a high demand for data structure and logical representation.Based on such consideration,user and designer have to discuss again and again to complete the prototype model together.However,according to the communication barriers and the professional technique,the designer has no choice but pay a lot of energy to accomplish the satisfactory design.This thesis processes a new modeling method to design Entity-Relationship model based on RDF ontology.Firstly,in order to design E-R model,querying rules and modeling method are defined by SPARQL in different semantic environment.Exactly,the rules of querying class,property,data type,blank node and cardinal number are included.Then,according to the need,the results are transformed to the primitive model.Secondly,based on breadth-first priority algorithm,the thesis puts forward the algorithm about querying and modeling to query parent class prior to subclass.As a consequence,the algorithm not only makes the results in order,but also retains the semantic information as much as possible.Thirdly,considering the redundancy and the incompleteness of the primitive model,the method of the optimization and the reduction is proposed to complete the transformation from the primitive model to the standard model.Finally,a querying system is developed based on the querying rules and modeling method.Specifically,for a sample,the thesis provides a detailed process of the method above and shows the prototype model efficiently.Further,the feasibility and the effectiveness of the method are verified through the experiments of multiple sets of ontology.