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

John A. Springer, J. Chen
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Abstract

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.
当前数据库管理系统中本体驱动组学数据集成研究
为了充分实现本体驱动的“组学”数据集成的好处,数据库管理系统(dbms)必须以一种利用新兴语义Web技术的方式提供持久存储和高效并发访问。在本文中,我们探讨了现有dbms(如Oracle的数据库服务器)的当前功能,以满足语义Web技术产生的需求。我们主要考虑的是现有dbms为合并RDF、OWL和SPARQL而提供的新特性。我们为该评估提供了一个框架,并为随后对支持语义的dbms进行基准测试奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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