Open AccessStoring Large Scale Ontology in Relational Database
Author(s) -
Wang Songqing,
Zhuang Miao,
Yingpeng Du,
Li Yang,
Jiabao Wang
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/sste2016/6472
Subject(s) - computer science , ontology , database , relational database , data mining , set (abstract data type) , information retrieval , storage model , query optimization , computer data storage , view , scale (ratio) , relational model , database design , programming language , quantum mechanics , operating system , philosophy , physics , epistemology
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.
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