计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 190-194.

• 数据库与数据挖掘 • 上一篇    下一篇

基于语义的领域虚拟数据中心研究与实现

李华昱,胡长军,欧阳纯萍,叶银珠   

  1. (中国石油大学(华东)计算机与通信工程学院 东营257061);(北京科技大学信息工程学院 北京100083);(中国石油勘探开发研究院 北京100083)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863高技术研究发展计划基金项目(2008AA01Z109),国家“十一五”科技支撑计划(2006BAK11B03)资助。

Research and Implementation of Domain-specific Virtual Data Center Based on Semantics

LI Hua-yu,HU Chang-jun,OUYANG Chun-ping,YE Yin-zhu   

  • Online:2018-11-16 Published:2018-11-16

摘要: 油井工程领域涉及的数据具有分布、异构和自治性强等特点,并且存在复杂的语义关联,无法为全局决策提供有效的数据支持。利用本体和虚拟视图集成技术,提出了油井工程虚拟数据中心解决方案,通过构造领域全局本体并利用本体抽取、本体映射和查询转换实现领域数据语义集成,提供了统一和基于语义的数据查询与共享服务。实际应用表明,虚拟数据中心能够为油井生产决策提供全面和实时的数据支持。

关键词: 虚拟数据中心,本体,语义映射,油井工程

Abstract: The data involved in the field of oil-well-engineering are distributed, heterogeneous and autonomous, and there is also a complex semantic association among them Under this circumstance, effective global support for decisionmaking is difficult to ensure. Using integration technology of ontology and virtual view, this paper presented a virtual data center solution for oil-well data integration. Through global-ontology construction, ontology extraction, ontology mapping and query conversion, the data in oil-well engineering field can be semantically integrated. Consequently, a unified and semanti}based data query and shared services were achieved. By practical application, this virtual data center is able to supply production decision with comprehensive and real-time data services.

Key words: Virtual data center, Ontology, Semantic mapping, Oil-well engineering

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