Storing Large Scale Ontology in Relational Database

Abstract

To overcome the limitations of the relational database for storing the ontology in four modes, by analyzing the various attributes common ontology, drawing vertical model stable structure, the advantages of high resolution model query efficiency, design and implement a storage mode, and finally according to LUBM storage time consuming to design experiments to test the storage model set, storage space consuming, query efficiency for verification. Experimental results show that the storage model can provide good support for large-scale ontology storage and query data.