Toward Ontology-Driven Omics Data Integration in Current Database Management Systems

被引:1
|
作者
Springer, John [1 ]
Chen, Jake Y. [2 ,3 ,4 ]
机构
[1] Purdue Univ, Coll Technol, Dept Comp & Informat Technol, W Lafayette, IN 47907 USA
[2] Indiana Univ, Personalize Med, Indianapolis, IN 46202 USA
[3] Purdue Univ, Personalize Med, Indianapolis, IN 46202 USA
[4] Indiana Univ Sch Informat, Indiana Ctr Syst Biol, Indianapolis, IN 46202 USA
关键词
D O I
10.1109/NBiS.2009.80
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To fully realize the benefit of ontology-driven "Omics" data integration, it is essential that database management systems (DBMSs) provide persistent storage and efficient concurrent access in a manner that leverages the emerging Semantic Web technologies. In this paper, we explore the current capabilities of existing DBMSs, such as Oracle's database server, to meet the needs generated by the Semantic Web technologies. Our primary consideration is the new features provided by existing DBMSs to incorporate RDF, OWL, and SPARQL. We present a framework for this evaluation and lay the groundwork for subsequent benchmarking of the semantic-enabled DBMSs.
引用
收藏
页码:292 / +
页数:3
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