基于语义视图的虚拟数据中心构建方法

Huayu Li, C. Ouyang
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引用次数: 1

摘要

井工领域存在海量数据,这些数据是分布式的或异构的。这些特征导致了数据集成和全局决策过程中的困难。针对这一问题,本文提出了一种利用语义集成技术构建虚拟数据中心的解决方案。该方法首先将数据源的模式映射到领域本体的语义视图上,然后通过转换算法将全局语义查询重写为一系列SQL语句,这些SQL语句将被调度到相关数据源并在本地站点上执行,最后将查询结果重组并提交给用户。通过实际应用,该虚拟数据中心可为油井生产决策提供基于语义的数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Building Virtual Datacenter Based on Semantic Views
Massive data exists in Well-Engineering domain, and they are distributed or heterogeneous. These features lead to difficulties during data integration and global decision making. For this problem, this paper proposes a solution of building virtual data center by means of semantic integration technology. In this method, schemas of data sources are firstly mapped to semantic views on domain ontology, secondly, with translation algorithm, global semantic query is rewritten into series of SQL statements which will be dispatched to relevant data sources and executed on local sites, finally, query results are reorganized and submitted to users. By practical application, this virtual data center can supply semantic-based data support for well production decision.
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