Storing Large Scale Ontology in Relational Database

被引：0

作者：

Wang, Song-Qing ^{[1
]}

Miao, Zhuang ^{[1
]}

Du, Ying-Peng ^{[1
]}

Li, Yang ^{[1
]}

Wang, Jia-Bao ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Coll Command Informat Syst, Nanjing 210014, Jiangsu, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON SERVICE SCIENCE, TECHNOLOGY AND ENGINEERING (SSTE 2016) | 2016年

关键词：

Ontology; Relational Database; Storage Model;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：13 / 19

页数：7